Advanced data journalism: Doing more with R
Fernando Millan Villalobos
2022-09-28
1 Notes
This report was generated on 2022-09-28 10:43:18. R version: 4.2.1 on aarch64-apple-darwin20. For this report, CRAN packages as of 2022-05-01 were used.
…
1.1 R-Script & data
The preprocessing and analysis of the data was conducted in the R project for statistical
computing. The RMarkdown script used to generate this document and
all the resulting data can be downloaded under
this link. Through executing main.Rmd, the herein
described process can be reproduced and this document can be generated.
In the course of this, data from the folder input will be
processed and results will be written to output. The html
on-line version of the analysis can be accessed through this link.
1.2 GitHub
The code for the herein described process can also be freely downloaded from https://github.com/fernandomillanvillalobos/adjclass-nando.
1.3 License
…
1.4 Data description of output files
1.4.0.1
abc.csv (Example)
| Attribute | Type | Description |
|---|---|---|
| a | Numeric | … |
| b | Numeric | … |
| c | Numeric | … |
…
2 Set up
## [1] "package package:rmarkdown detached"2.1 Define packages
# from https://mran.revolutionanalytics.com/web/packages/\
# checkpoint/vignettes/using-checkpoint-with-knitr.html
# if you don't need a package, remove it from here (commenting not sufficient)
# tidyverse: see https://blog.rstudio.org/2016/09/15/tidyverse-1-0-0/
cat("
library(rstudioapi)
library(tidyverse)
library(tidylog)
library(jsonlite)
library(lintr)
library(rmarkdown)
library(sf)
library(rio)
library(cowplot)
library(extrafont)
library(ggrepel)
library(scales)
library(remotes)
library(lubridate)
library(rvest)
library(httr)
library(tidycensus)
library(ggthemes)
library(doParallel)
library(utils)
library(vtable)
library(tigris)
library(viridis)
library(biscale)
library(svglite)
library(janitor)",
file = "manifest.R")2.2 Install packages
# if checkpoint is not yet installed, install it (for people using this
# system for the first time)
if (!require(checkpoint)) {
if (!require(devtools)) {
install.packages("devtools", repos = "http://cran.us.r-project.org")
require(devtools)
}
devtools::install_github("RevolutionAnalytics/checkpoint",
ref = "v0.3.2", # could be adapted later,
# as of now (beginning of July 2017
# this is the current release on CRAN)
repos = "http://cran.us.r-project.org")
require(checkpoint)
}
# nolint start
if (!dir.exists("~/.checkpoint")) {
dir.create("~/.checkpoint")
}
# nolint end
# install packages for the specified CRAN snapshot date
checkpoint(snapshot_date = package_date,
project = path_to_wd,
verbose = T,
scanForPackages = T,
use.knitr = F,
R.version = r_version)
rm(package_date)2.3 Load packages
source("manifest.R")
unlink("manifest.R")
sessionInfo()## R version 4.2.1 Patched (2022-07-22 r82618)
## Platform: aarch64-apple-darwin20 (64-bit)
## Running under: macOS Monterey 12.6
##
## Matrix products: default
## BLAS: /Library/Frameworks/R.framework/Versions/4.2-arm64/Resources/lib/libRblas.0.dylib
## LAPACK: /Library/Frameworks/R.framework/Versions/4.2-arm64/Resources/lib/libRlapack.dylib
##
## locale:
## [1] C/UTF-8/C/C/C/C
##
## attached base packages:
## [1] parallel stats graphics grDevices utils datasets methods
## [8] base
##
## other attached packages:
## [1] janitor_2.1.0 svglite_2.1.0 biscale_0.2.0 viridis_0.6.2
## [5] viridisLite_0.4.1 tigris_1.6 vtable_1.3.3 kableExtra_1.3.4
## [9] doParallel_1.0.17 iterators_1.0.14 foreach_1.5.2 ggthemes_4.2.4
## [13] tidycensus_1.2.1 httr_1.4.4 rvest_1.0.3 lubridate_1.8.0
## [17] remotes_2.4.2 scales_1.2.0 ggrepel_0.9.1 extrafont_0.18
## [21] cowplot_1.1.1 rio_0.5.29 sf_1.0-7 rmarkdown_2.14
## [25] lintr_2.0.1 jsonlite_1.8.0 tidylog_1.0.2 forcats_0.5.2
## [29] stringr_1.4.1 dplyr_1.0.10 purrr_0.3.4 readr_2.1.2
## [33] tidyr_1.2.1 tibble_3.1.8 ggplot2_3.3.6 tidyverse_1.3.2
## [37] checkpoint_1.0.2 rstudioapi_0.14 knitr_1.40
##
## loaded via a namespace (and not attached):
## [1] googledrive_2.0.0 colorspace_2.0-3 ellipsis_0.3.2
## [4] class_7.3-20 rgdal_1.5-32 rprojroot_2.0.3
## [7] snakecase_0.11.0 fs_1.5.2 proxy_0.4-27
## [10] fansi_1.0.3 xml2_1.3.3 codetools_0.2-18
## [13] cachem_1.0.6 broom_1.0.1 Rttf2pt1_1.3.10
## [16] dbplyr_2.2.1 compiler_4.2.1 backports_1.4.1
## [19] assertthat_0.2.1 fastmap_1.1.0 lazyeval_0.2.2
## [22] gargle_1.2.1 cli_3.4.1 htmltools_0.5.3
## [25] tools_4.2.1 gtable_0.3.1 glue_1.6.2
## [28] rappdirs_0.3.3 Rcpp_1.0.9 cellranger_1.1.0
## [31] jquerylib_0.1.4 vctrs_0.4.1 extrafontdb_1.0
## [34] xfun_0.33 ps_1.7.1 openxlsx_4.2.5
## [37] lifecycle_1.0.2 googlesheets4_1.0.1 clisymbols_1.2.0
## [40] hms_1.1.2 rex_1.2.1 yaml_2.3.5
## [43] curl_4.3.2 gridExtra_2.3 sass_0.4.2
## [46] stringi_1.7.8 maptools_1.1-4 desc_1.4.2
## [49] e1071_1.7-11 cyclocomp_1.1.0 zip_2.2.1
## [52] systemfonts_1.0.4 rlang_1.0.6 pkgconfig_2.0.3
## [55] evaluate_0.16 lattice_0.20-45 processx_3.7.0
## [58] tidyselect_1.1.2 magrittr_2.0.3 R6_2.5.1
## [61] generics_0.1.3 DBI_1.1.3 pillar_1.8.1
## [64] haven_2.5.1 foreign_0.8-82 withr_2.5.0
## [67] units_0.8-0 sp_1.5-0 modelr_0.1.9
## [70] crayon_1.5.1 uuid_1.1-0 KernSmooth_2.23-20
## [73] utf8_1.2.2 tzdb_0.3.0 grid_4.2.1
## [76] readxl_1.4.1 data.table_1.14.2 callr_3.7.2
## [79] webshot_0.5.4 reprex_2.0.2 digest_0.6.29
## [82] classInt_0.4-7 munsell_0.5.0 bslib_0.4.02.4 Load additional scripts
# if you want to outsource logic to other script files, see README for
# further information
# Load all visualizations functions as separate scripts
knitr::read_chunk("scripts/dviz.supp.R")
source("scripts/dviz.supp.R")
knitr::read_chunk("scripts/themes.R")
source("scripts/themes.R")
knitr::read_chunk("scripts/plot_grid.R")
source("scripts/plot_grid.R")
knitr::read_chunk("scripts/align_legend.R")
source("scripts/align_legend.R")
knitr::read_chunk("scripts/label_log10.R")
source("scripts/label_log10.R")
knitr::read_chunk("scripts/outliers.R")
source("scripts/outliers.R")3 Module 1: Exploring data
In this lesson, we’re going to start exploring data with the package dplyr.
It’s designed to work with data frames, which is what journalists are used to
Great for data exploration and transformation
Intuitive to write and easy to read, especially when using the “chaining” syntax of pipes
These are the functions/data analysis verbs we’ll be going over:
filter()select()arrange()mutate()summarize()plusgroup_by()
Module 1: Analyzing data with R
# getting the data https://www.fema.gov/openfema-data-page/disaster-declarations-summaries-v2
df <- read_csv("https://www.fema.gov/api/open/v2/DisasterDeclarationsSummaries.csv") %>%
glimpse()## Rows: 63,465
## Columns: 24
## $ femaDeclarationString <chr> "FM-5444-TX", "FM-5436-NE", "FM-5444-TX", "FM…
## $ disasterNumber <dbl> 5444, 5436, 5444, 5436, 5436, 5435, 5434, 543…
## $ state <chr> "TX", "NE", "TX", "NE", "NE", "AZ", "AZ", "NM…
## $ declarationType <chr> "FM", "FM", "FM", "FM", "FM", "FM", "FM", "FM…
## $ declarationDate <dttm> 2022-07-19, 2022-04-23, 2022-07-19, 2022-04-…
## $ fyDeclared <dbl> 2022, 2022, 2022, 2022, 2022, 2022, 2022, 202…
## $ incidentType <chr> "Fire", "Fire", "Fire", "Fire", "Fire", "Fire…
## $ declarationTitle <chr> "CHALK MOUNTAIN FIRE", "ROAD 702 FIRE", "CHAL…
## $ ihProgramDeclared <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ iaProgramDeclared <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ paProgramDeclared <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, …
## $ hmProgramDeclared <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, …
## $ incidentBeginDate <dttm> 2022-07-18, 2022-04-22, 2022-07-18, 2022-04-…
## $ incidentEndDate <dttm> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
## $ disasterCloseoutDate <dttm> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
## $ fipsStateCode <chr> "48", "31", "48", "31", "31", "04", "04", "35…
## $ fipsCountyCode <chr> "221", "063", "425", "065", "145", "025", "00…
## $ placeCode <dbl> 99221, 99063, 99425, 99065, 99145, 99025, 990…
## $ designatedArea <chr> "Hood (County)", "Frontier (County)", "Somerv…
## $ declarationRequestNumber <dbl> 22060, 22034, 22060, 22034, 22034, 22032, 220…
## $ lastIAFilingDate <dttm> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
## $ hash <chr> "373c5ec27998afc08a53302dae796f476b1a6546", "…
## $ id <chr> "867be42a-71d5-4f13-aa21-d91e0a6fd577", "e671…
## $ lastRefresh <dttm> 2022-07-20 21:21:23, 2022-07-20 21:21:23, 20…# getting the range
range(df$incidentBeginDate)## [1] "1953-05-02 UTC" "2022-09-23 UTC"# exploring the data with table()
table(df$incidentType)##
## Biological Chemical Coastal Storm Dam/Levee Break
## 7857 9 638 13
## Drought Earthquake Fire Fishing Losses
## 1292 227 3612 42
## Flood Freezing Human Cause Hurricane
## 10562 301 7 12715
## Mud/Landslide Other Severe Ice Storm Severe Storm(s)
## 37 307 2942 17436
## Snow Terrorist Tornado Toxic Substances
## 3695 5 1569 9
## Tsunami Typhoon Volcano
## 9 130 51# or with count()
incident_types <- count(df, incidentType, name = "total") # rename the default "n" column
incident_types## # A tibble: 23 × 2
## incidentType total
## <chr> <int>
## 1 Biological 7857
## 2 Chemical 9
## 3 Coastal Storm 638
## 4 Dam/Levee Break 13
## 5 Drought 1292
## 6 Earthquake 227
## 7 Fire 3612
## 8 Fishing Losses 42
## 9 Flood 10562
## 10 Freezing 301
## # … with 13 more rows# arranging the data
incident_types_arranged <- arrange(incident_types, desc(total))
incident_types_arranged## # A tibble: 23 × 2
## incidentType total
## <chr> <int>
## 1 Severe Storm(s) 17436
## 2 Hurricane 12715
## 3 Flood 10562
## 4 Biological 7857
## 5 Snow 3695
## 6 Fire 3612
## 7 Severe Ice Storm 2942
## 8 Tornado 1569
## 9 Drought 1292
## 10 Coastal Storm 638
## # … with 13 more rows# pipeing it all
incident_types_arranged <- df %>%
count(incidentType, name = "total") %>%
arrange(desc(total))
incident_types_arranged## # A tibble: 23 × 2
## incidentType total
## <chr> <int>
## 1 Severe Storm(s) 17436
## 2 Hurricane 12715
## 3 Flood 10562
## 4 Biological 7857
## 5 Snow 3695
## 6 Fire 3612
## 7 Severe Ice Storm 2942
## 8 Tornado 1569
## 9 Drought 1292
## 10 Coastal Storm 638
## # … with 13 more rows# filtering
incident_types_arranged_filtered <- incident_types_arranged %>%
filter(incidentType != "Biological")
incident_types_arranged_filtered## # A tibble: 22 × 2
## incidentType total
## <chr> <int>
## 1 Severe Storm(s) 17436
## 2 Hurricane 12715
## 3 Flood 10562
## 4 Snow 3695
## 5 Fire 3612
## 6 Severe Ice Storm 2942
## 7 Tornado 1569
## 8 Drought 1292
## 9 Coastal Storm 638
## 10 Other 307
## # … with 12 more rows# filtering by multiple values
incident_types_arranged %>%
filter(incidentType == "Tornado" | incidentType == "Hurricane")## # A tibble: 2 × 2
## incidentType total
## <chr> <int>
## 1 Hurricane 12715
## 2 Tornado 1569# using an array to filter
disaster_array <- c("Tornado", "Hurricane", "Flood")
incident_types_arranged %>%
filter(incidentType %in% disaster_array)## # A tibble: 3 × 2
## incidentType total
## <chr> <int>
## 1 Hurricane 12715
## 2 Flood 10562
## 3 Tornado 1569# missing values
head(is.na(df$incidentType))## [1] FALSE FALSE FALSE FALSE FALSE FALSEsum(is.na(df$incidentType))## [1] 0# using select()
nrow(df)## [1] 63465colnames(df)## [1] "femaDeclarationString" "disasterNumber"
## [3] "state" "declarationType"
## [5] "declarationDate" "fyDeclared"
## [7] "incidentType" "declarationTitle"
## [9] "ihProgramDeclared" "iaProgramDeclared"
## [11] "paProgramDeclared" "hmProgramDeclared"
## [13] "incidentBeginDate" "incidentEndDate"
## [15] "disasterCloseoutDate" "fipsStateCode"
## [17] "fipsCountyCode" "placeCode"
## [19] "designatedArea" "declarationRequestNumber"
## [21] "lastIAFilingDate" "hash"
## [23] "id" "lastRefresh"df_narrow <- df %>%
select(
femaDeclarationString, state, declarationDate,
fyDeclared, designatedArea, incidentType
)
colnames(df_narrow)## [1] "femaDeclarationString" "state" "declarationDate"
## [4] "fyDeclared" "designatedArea" "incidentType"# using slice()
rev_chron_floods <- df %>%
filter(incidentType == "Flood") %>%
arrange(desc(declarationDate)) %>%
slice(1:5)
rev_chron_floods## # A tibble: 5 × 24
## femaDeclar…¹ disas…² state decla…³ declarationDate fyDec…⁴ incid…⁵ decla…⁶
## <chr> <dbl> <chr> <chr> <dttm> <dbl> <chr> <chr>
## 1 DR-4667-AK 4667 AK DR 2022-08-26 00:00:00 2022 Flood FLOODI…
## 2 DR-4667-AK 4667 AK DR 2022-08-26 00:00:00 2022 Flood FLOODI…
## 3 DR-4667-AK 4667 AK DR 2022-08-26 00:00:00 2022 Flood FLOODI…
## 4 DR-4665-MO 4665 MO DR 2022-08-08 00:00:00 2022 Flood SEVERE…
## 5 DR-4665-MO 4665 MO DR 2022-08-08 00:00:00 2022 Flood SEVERE…
## # … with 16 more variables: ihProgramDeclared <dbl>, iaProgramDeclared <dbl>,
## # paProgramDeclared <dbl>, hmProgramDeclared <dbl>, incidentBeginDate <dttm>,
## # incidentEndDate <dttm>, disasterCloseoutDate <dttm>, fipsStateCode <chr>,
## # fipsCountyCode <chr>, placeCode <dbl>, designatedArea <chr>,
## # declarationRequestNumber <dbl>, lastIAFilingDate <dttm>, hash <chr>,
## # id <chr>, lastRefresh <dttm>, and abbreviated variable names
## # ¹femaDeclarationString, ²disasterNumber, ³declarationType, ⁴fyDeclared, …# using mutate()
floods <- df %>%
filter(incidentType == "Flood")
floods_adjusted <- floods %>%
mutate(year = year(declarationDate)) %>%
select(year, declarationDate, fyDeclared)
floods_adjusted## # A tibble: 10,562 × 3
## year declarationDate fyDeclared
## <dbl> <dttm> <dbl>
## 1 2022 2022-07-13 00:00:00 2022
## 2 2022 2022-07-13 00:00:00 2022
## 3 2022 2022-07-13 00:00:00 2022
## 4 2022 2022-07-13 00:00:00 2022
## 5 2022 2022-06-16 00:00:00 2022
## 6 2022 2022-07-13 00:00:00 2022
## 7 2022 2022-03-29 00:00:00 2022
## 8 2022 2022-03-29 00:00:00 2022
## 9 2022 2022-03-29 00:00:00 2022
## 10 2022 2022-07-13 00:00:00 2022
## # … with 10,552 more rows# using summarize()
floods %>%
mutate(year = year(declarationDate)) %>%
group_by(year) %>%
summarize(total = n())## # A tibble: 69 × 2
## year total
## <dbl> <int>
## 1 1953 5
## 2 1954 7
## 3 1955 8
## 4 1956 7
## 5 1957 10
## 6 1958 5
## 7 1959 6
## 8 1960 3
## 9 1961 10
## 10 1962 17
## # … with 59 more rows# using case_when()
floods_match <- floods_adjusted %>%
mutate(
year_match =
case_when(
year == fyDeclared ~ "Match",
TRUE ~ "Not a match"
)
) %>%
group_by(year_match) %>%
summarize(total = n())
floods_match## # A tibble: 2 × 2
## year_match total
## <chr> <int>
## 1 Match 9149
## 2 Not a match 1413# using pull()
floods_match_count <- floods_match %>%
filter(year_match == "Not a match") %>%
pull(total)
floods_match_count## [1] 1413# getting the pct
total_obs <- nrow(floods)
floods_match_count / total_obs * 100## [1] 13.37815round(floods_match_count / total_obs * 100, 1)## [1] 13.4# Which year had the most floods declarations?
annual_floods <- df %>%
filter(incidentType == "Flood") %>%
mutate(year = year(declarationDate)) %>%
group_by(year) %>%
summarize(total = n()) %>%
arrange(desc(total))
annual_floods## # A tibble: 69 × 2
## year total
## <dbl> <int>
## 1 2019 628
## 2 1973 580
## 3 1993 496
## 4 1972 486
## 5 2011 467
## 6 1996 418
## 7 2016 407
## 8 1969 394
## 9 1974 386
## 10 1975 377
## # … with 59 more rows# Which state has had the most flooding declared disasters?
state_floods <- df %>%
filter(incidentType == "Flood") %>%
group_by(state) %>%
summarize(floods = n()) %>%
arrange(desc(floods))
state_floods## # A tibble: 55 × 2
## state floods
## <chr> <int>
## 1 IA 722
## 2 MN 661
## 3 ND 653
## 4 MO 522
## 5 TX 503
## 6 KY 472
## 7 SD 413
## 8 NE 376
## 9 LA 363
## 10 PR 362
## # … with 45 more rows4 Module 2: Joins and Strings
Let’s take a moment to talk about the significance of tidy data. It’s the prefix to a lot of the packages and functions we’re using in this class. But it’s also a philosophy when approaching the structure of data.
There’s an ideal structure for how to stack your data.
And that’s with
- Each variable is in its own column
- Each case is in its own row
- Each value is in its own cell
A join combines two data sets by adding the columns of one data set alongside the columns of the other, usually some of the rows of the second data set along with some rows of the first data set.
A successful join requires something consistent between two data sets to match on: keys.
The function that’s used most often is left_join()
because you have one main data set you’d like to supplement with
additional columns.
The function works like this:
If the two data frames you want to join have the same name:
left_join(data_frame1, data_frame2, by="shared_column_name")
If the two data frames you want to join have different names:
left_join(data_frame1, data_frame2, by=c("df1_column"="df_2_column"))
Notice that the c() argument in the second example is
different from how we’ve used it before as combine. The =
column matching operator is specific to _join()
functions.
Now there are a
few other joins that have their uses.
right_join()full_join()semi_join()anti_join()
There are many wonderful functions in the stringr package that you do things like detect patterns, see if strings start with with a pattern, or split or join or substitute strings.
Nearly every news story that involves data analysis can be derived from one these formulas.
- Difference
- x - y
- Percent
- x / (x + y) * 100
- Percent change
- (new - old)/old * 100
- Per Capita
- x / population * some multiplier to raise result to a round number
Module 2: Joins and Strings
## [1] "02898df1b52d892523a165c11b8b9630e646f22b"county_pop <- get_acs(geography = "county", variables = "B01003_001", year = 2020)
df <- read_csv("https://www.fema.gov/api/open/v2/DisasterDeclarationsSummaries.csv")
# combining strings
df_new <- df %>%
mutate(GEOID = str_c(fipsStateCode, fipsCountyCode))
# joining data frames
joined_new <- left_join(df_new, county_pop, by = "GEOID")
glimpse(joined_new)## Rows: 63,465
## Columns: 29
## $ femaDeclarationString <chr> "FM-5444-TX", "FM-5436-NE", "FM-5444-TX", "FM…
## $ disasterNumber <dbl> 5444, 5436, 5444, 5436, 5436, 5435, 5434, 543…
## $ state <chr> "TX", "NE", "TX", "NE", "NE", "AZ", "AZ", "NM…
## $ declarationType <chr> "FM", "FM", "FM", "FM", "FM", "FM", "FM", "FM…
## $ declarationDate <dttm> 2022-07-19, 2022-04-23, 2022-07-19, 2022-04-…
## $ fyDeclared <dbl> 2022, 2022, 2022, 2022, 2022, 2022, 2022, 202…
## $ incidentType <chr> "Fire", "Fire", "Fire", "Fire", "Fire", "Fire…
## $ declarationTitle <chr> "CHALK MOUNTAIN FIRE", "ROAD 702 FIRE", "CHAL…
## $ ihProgramDeclared <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ iaProgramDeclared <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ paProgramDeclared <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, …
## $ hmProgramDeclared <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, …
## $ incidentBeginDate <dttm> 2022-07-18, 2022-04-22, 2022-07-18, 2022-04-…
## $ incidentEndDate <dttm> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
## $ disasterCloseoutDate <dttm> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
## $ fipsStateCode <chr> "48", "31", "48", "31", "31", "04", "04", "35…
## $ fipsCountyCode <chr> "221", "063", "425", "065", "145", "025", "00…
## $ placeCode <dbl> 99221, 99063, 99425, 99065, 99145, 99025, 990…
## $ designatedArea <chr> "Hood (County)", "Frontier (County)", "Somerv…
## $ declarationRequestNumber <dbl> 22060, 22034, 22060, 22034, 22034, 22032, 220…
## $ lastIAFilingDate <dttm> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
## $ hash <chr> "373c5ec27998afc08a53302dae796f476b1a6546", "…
## $ id <chr> "867be42a-71d5-4f13-aa21-d91e0a6fd577", "e671…
## $ lastRefresh <dttm> 2022-07-20 21:21:23, 2022-07-20 21:21:23, 20…
## $ GEOID <chr> "48221", "31063", "48425", "31065", "31145", …
## $ NAME <chr> "Hood County, Texas", "Frontier County, Nebra…
## $ variable <chr> "B01003_001", "B01003_001", "B01003_001", "B0…
## $ estimate <dbl> 60025, 2636, 8958, 4712, 10725, 232396, 14225…
## $ moe <dbl> NA, 78, NA, NA, NA, NA, NA, NA, NA, NA, NA, N…# summarizing data
joined_new %>%
group_by(incidentType) %>%
summarize(
declarations = n(),
avg_pop = mean(estimate, na.rm = T),
median_pop = median(estimate, na.rm = T)
) %>%
arrange(desc(avg_pop)) %>%
slice(1:5)## # A tibble: 5 × 4
## incidentType declarations avg_pop median_pop
## <chr> <int> <dbl> <dbl>
## 1 Human Cause 7 1437803. 1555605
## 2 Terrorist 5 782107. 703740
## 3 Typhoon 130 525816. 525816.
## 4 Freezing 301 504781. 185926
## 5 Fire 3612 425135. 45639# wrangling data to compare the current months of 2022 with the past months (otherwise we’d be comparing 12 months of data in 2021 to 8 in 2022 which would be misleading)
joined_new %>%
filter(state == "KY") %>%
filter(incidentType == "Flood") %>%
mutate(year = year(incidentBeginDate)) %>%
# extracting months
mutate(month = month(incidentBeginDate)) %>%
# only paying attention to months in current year of data set
filter(month %in% c(1:8)) %>%
filter(year == 2020 | year == 2021 | year == 2022) %>%
group_by(year) %>%
summarize(
declarations = n(),
avg_pop = mean(estimate, na.rm = T),
median_pop = median(estimate, na.rm = T)
)## # A tibble: 2 × 4
## year declarations avg_pop median_pop
## <dbl> <int> <dbl> <dbl>
## 1 2021 50 33468. 22182.
## 2 2022 20 19381. 15504.# getting percent
# x / (x + y) * 100
old <- 50 / (50 + 20) * 100
new <- 20 / (20 + 50) * 100
# getting percent change
# (new - old)/old * 100
(new - old) / old * 100## [1] -60Because you’re working with raw data intended for use by an agency for one thing, you’ll need to be able to reshape the data so you can do your own analysis, which will include math (such as difference, percents, percent change, and per capita).
One advanced technique for transforming data you’ll learn in this section is from the tidyr package.
- pivot_wider()
- pivot_longer()
In R, you pivot data as in you reshape it. This way you can do math
easier across all rows and easier to mutate and manipulate (and is also
the preferable data structure for most data viz tools). However, if we
wanted to make comparisons that would be difficult. So we need to turn
this long data into wide data using pivot_wider(). What’s
really powerful about pivot_wider() is the option to be
able to draw values from more than one column.
To
use the pivot_longer() function which needs:
- What columns to focus on
cols= - What to name the column with the names of the columns
names_to= - What to name the column with the values
values_to=
# getting the data (long format)
long_flood <- joined_new %>%
filter(incidentType == "Flood") %>%
mutate(year = year(incidentBeginDate)) %>%
# extracting months
mutate(month = month(incidentBeginDate)) %>%
# only paying attention to months in current year of data set
filter(month %in% c(1:8)) %>%
filter(year == 2020 | year == 2021 | year == 2022) %>%
group_by(year, state) %>%
summarize(
declarations = n(),
avg_pop = mean(estimate, na.rm = T),
median_pop = median(estimate, na.rm = T)
)
head(long_flood)## # A tibble: 6 × 5
## # Groups: year [2]
## year state declarations avg_pop median_pop
## <dbl> <chr> <int> <dbl> <dbl>
## 1 2020 ND 20 18073. 4541
## 2 2020 OR 4 36962 26502
## 3 2020 WA 15 272432. 73769
## 4 2020 WI 3 438012. 195859
## 5 2021 AZ 3 108080. 110271
## 6 2021 HI 1 166657 166657# pivoting the data (wide format)
wide_flood <- long_flood %>%
select(-avg_pop, -median_pop) %>%
pivot_wider(
names_from = "year",
values_from = "declarations"
)
head(wide_flood)## # A tibble: 6 × 4
## state `2020` `2021` `2022`
## <chr> <int> <int> <int>
## 1 ND 20 NA NA
## 2 OR 4 NA NA
## 3 WA 15 NA NA
## 4 WI 3 NA NA
## 5 AZ NA 3 NA
## 6 HI NA 1 NA# calculates the percent change between 2022 and 2021
flood_percent_change <- wide_flood %>%
summarize(
`2020` = sum(`2020`, na.rm = T),
`2021` = sum(`2021`, na.rm = T),
`2022` = sum(`2022`, na.rm = T)
) %>%
mutate(percent_change = (round((`2022` - `2021`) / `2021` * 100, 1)))
flood_percent_change## # A tibble: 1 × 4
## `2020` `2021` `2022` percent_change
## <int> <int> <int> <dbl>
## 1 42 77 58 -24.7# drawing values from more than one column
wide_flood_more <- long_flood %>%
select(-median_pop) %>%
pivot_wider(
names_from = "year",
values_from = c("declarations", "avg_pop")
)
wide_flood_more## # A tibble: 18 × 7
## state declarations_2020 declarations_2021 declarati…¹ avg_p…² avg_p…³ avg_p…⁴
## <chr> <int> <int> <int> <dbl> <dbl> <dbl>
## 1 ND 20 NA NA 18073. NA NA
## 2 OR 4 NA NA 36962 NA NA
## 3 WA 15 NA NA 272432. NA NA
## 4 WI 3 NA NA 438012. NA NA
## 5 AZ NA 3 NA NA 108080. NA
## 6 HI NA 1 NA NA 166657 NA
## 7 KY NA 50 20 NA 33468. 19381.
## 8 LA NA 7 NA NA 166802. NA
## 9 NH NA 2 NA NA 59606. NA
## 10 TN NA 4 NA NA 26259. NA
## 11 VA NA 1 NA NA 21374 NA
## 12 VT NA 2 NA NA 39138. NA
## 13 WV NA 7 NA NA 59030. NA
## 14 AK NA NA 3 NA NA 14479
## 15 MN NA NA 19 NA NA 25172.
## 16 MO NA NA 4 NA NA 427694.
## 17 MT NA NA 7 NA NA 43349.
## 18 PR NA NA 5 NA NA 44766.
## # … with abbreviated variable names ¹declarations_2022, ²avg_pop_2020,
## # ³avg_pop_2021, ⁴avg_pop_2022# getting new data
joined_new <- left_join(df_new, county_pop, by = "GEOID") %>%
mutate(year = year(incidentBeginDate))
annual_disasters <- joined_new %>%
count(incidentType, year, name = "total")
annual_fires <- annual_disasters %>%
filter(incidentType == "Fire")
annual_fires## # A tibble: 57 × 3
## incidentType year total
## <chr> <dbl> <int>
## 1 Fire 1953 1
## 2 Fire 1956 1
## 3 Fire 1960 1
## 4 Fire 1961 1
## 5 Fire 1967 10
## 6 Fire 1970 8
## 7 Fire 1971 3
## 8 Fire 1973 10
## 9 Fire 1974 2
## 10 Fire 1975 2
## # … with 47 more rows# getting the data
df <- read_csv("https://www.fema.gov/api/open/v2/DisasterDeclarationsSummaries.csv")
county_pop <- read_csv("https://www.andrewbatran.com/data/county_population.csv")
df_new <- df %>%
mutate(GEOID = str_c(fipsStateCode, fipsCountyCode))
joined_new <- left_join(df_new, county_pop, by = "GEOID")
fires_wide <- joined_new %>%
filter(incidentType == "Fire") %>%
mutate(year = year(incidentBeginDate)) %>%
count(year, NAME) %>%
filter(!is.na(NAME)) %>%
pivot_wider(names_from = "year", values_from = n)
fires_wide## # A tibble: 965 × 41
## NAME `1967` `1970` `1973` `1977` `1978` `1980` `1981` `1982` `1985` `1988`
## <chr> <int> <int> <int> <int> <int> <int> <int> <int> <int> <int>
## 1 Benewa… 1 NA NA NA NA NA NA NA NA NA
## 2 Bonner… 1 NA NA NA NA NA NA NA NA NA
## 3 Bounda… 1 NA NA NA NA NA NA NA NA NA
## 4 Clearw… 1 NA NA NA NA NA NA NA NA NA
## 5 Idaho … 1 NA NA NA NA NA NA NA NA NA
## 6 Kooten… 1 NA NA NA NA NA NA NA NA NA
## 7 Latah … 1 NA NA NA NA NA NA NA NA NA
## 8 Lewis … 1 NA NA NA NA NA NA NA NA NA
## 9 Nez Pe… 1 NA NA NA NA NA NA NA NA NA
## 10 Shosho… 1 NA NA NA NA NA NA NA NA NA
## # … with 955 more rows, and 30 more variables: `1990` <int>, `1991` <int>,
## # `1992` <int>, `1993` <int>, `1996` <int>, `1998` <int>, `1999` <int>,
## # `2000` <int>, `2001` <int>, `2002` <int>, `2003` <int>, `2004` <int>,
## # `2005` <int>, `2006` <int>, `2007` <int>, `2008` <int>, `2009` <int>,
## # `2010` <int>, `2011` <int>, `2012` <int>, `2013` <int>, `2014` <int>,
## # `2015` <int>, `2016` <int>, `2017` <int>, `2018` <int>, `2019` <int>,
## # `2020` <int>, `2021` <int>, `2022` <int>The grammar of graphics lets you approach visualizations structurally, letting you combine and swap out graphical elements into figures that display data meaningfully.
Aesthetic
The visual property of a graph
Position, shape, color, etc.
Data
- A column in a data set
Here’s are the core components of the chart above:
Core components of a chart
Here’s how the data was mapped in ggplot2 code from a data frame:
Data mapped in ggplot2
ggplot(data = DATA) + GEOM_FUNCTION(mapping = aes(AESTHETIC MAPPINGS))
Facets show subplots for different subsets of
data. The table below shows all the different ways you can use facets–
you can break it out by one extra variable or even two.
We
can add more customizations to the chart.
Use themes to change
the appearance of anything in the plot. While you can customize every
font, color, gradient, etc, you can set these styles up ahead of time or
use the ones others have created. There are many built-in themes. Make
theme adjustments with theme().
Themes
# plotting the data
ggplot(data = annual_fires) +
geom_col(aes(x = year, y = total))
# scoping the years to 2010 - 2022
ggplot(data = annual_fires) +
geom_col(aes(x = year, y = total)) +
scale_x_continuous(limits = c(2010, 2022), breaks = 2010:2022)
# using facets
annual_disasters %>%
filter(incidentType %in% c("Hurricane", "Fire", "Flood")) %>%
ggplot() +
geom_col(mapping = aes(x = year, y = total)) +
scale_x_continuous(limits = c(2010, 2022), breaks = 2010:2022) +
facet_wrap(vars(incidentType), ncol = 1)
# customizing charts
annual_disasters %>%
filter(incidentType %in% c("Hurricane", "Fire", "Flood")) %>%
ggplot() +
geom_col(mapping = aes(x = year, y = total)) +
scale_x_continuous(limits = c(2010, 2022), breaks = 2010:2022) +
facet_wrap(vars(incidentType), ncol = 1) +
labs(
title = "Disaster declarations since 2010",
x = "",
y = "Total",
caption = "Data: FEMA"
)
# using themes
annual_disasters %>%
filter(incidentType %in% c("Hurricane", "Fire", "Flood")) %>%
ggplot() +
geom_col(mapping = aes(x = year, y = total)) +
scale_x_continuous(limits = c(2010, 2022), breaks = 2010:2022) +
facet_wrap(vars(incidentType), ncol = 1) +
labs(
title = "Disaster declarations since 2010",
x = "",
y = "Total",
caption = "Data: FEMA"
) +
# theme_minimal() +
# bbc_style()
theme_economist() +
theme(
plot.title = element_text(face = "italic")
)
5 Module 3: Loops
We create loops to simplify repetitive tasks. Using i is
arbitrary. You could use any letter or object. But it does take the
value of what shows up after in. If you want to see how
many objects there are in an array, use length() and if you
want to see how many rows there are in a data frame, use
nrow() and if you want to see how many columns there are in
a data frame, use ncol(). Sometimes you’re going to get
data split out over several spreadsheets. Loops are a great way to
simplify things.
To make a loop work on importing spreadsheets, you’ll need to know:
- How many times you need to run the loop
- The names of the files
- Figure out what you want to do with the files
First, we need to get the list of spreadsheets that we want to
import. We’ll use the function called list.files(). Then we
use a loop structure where we can use the sheets[i] to refer to specific
sheets in the list.
This is the basic structure for if statements. You need a () and {}. You can do multiple tests, too.
if (logical test for true or false) { do something } else if (logical test for true or false) { do something else } else { do this if prior logical tests failed }
When we run scripts and loops currently, they’re done one at a time
in a serial form. The next task won’t start until the one before it
finishes. But modern computers have multiple cores which enables
multiple computations to take place at the same time. There are many
ways to run loops in parallel in R, but we’re going to use a package
called doParallel. To see how many cores your
computer’s working with use detectCores(). To tell R how
many cores we want to use use registerDoParallel(cores=X).
One valid criticism about R is that because data is stored into memory,
there is an actual limit to what processes it can run. But loops and
parallelization can allow you to run analyses on smaller slices of the
data before joining.
An API stands for an Application Programming Interface and is an intermediary between a data set and others. It’s a way for people outside someone’s system to query and ask for specific slices of data from the system without getting complete access to their system. It’s like a drive-thru menu at a fast food restaurant.
The
basic steps of pulling data from APIs:
- Installed the “jsonlite” packages (later on you may need the httr package)
- Make a “GET” request to the API to pull raw data
- Parse that data from its raw form through JavaScript Object Notification (JSON) into a usable format
- Write a loop to “page” through that data and retrieve the full data set
Once one has dissected the anatomy of an API, you can see how easy it
is to build them! Basically anybody with an internet connection, an
authorization token, and who knows the grammar of the API can access it.
Most APIs are published with extensive documentation to help you
understand the available options and parameters. There may be more
complicated ways to access APIs that involve including headers. We get
API requests into R simply using the R package jsonlite
and use the function fromJSON(). The
jsonlite package just transformed all the squiggles and
commas from what you saw in the browser output and gave you a clean
looking data frame. If we want multiple combinations of data we can use
loops. URLs do not like spaces. URLs require special characters like
spaces, quotation marks, and percent signs to be converted into
UTF-encoded values. Your browser, if it loaded the URL, automatically
replaced the space with a special character %20. The
function URLencode() from the utils
package should set this up for us.
There’s a lot of data out there and sometimes you can get it because
it’s been posted publicly. The best data for a journalist is a one that
hasn’t been scrutinized already. A new package called
rvest and it’s part of the tidy universe bundle and it
is used for scrapping purposes. First step is reading the HTML page with
read_html(). Then we’ll need to find the HTML/CSS elements
to target. One way is to use inspect element but since we’ve already
installed selector gadget we’ll use that instead.
So, the read_html() and html_nodes() and
html_text() functions are all you’ll need for many common
web scraping tasks.
- Get the HTML for the webpage you want
- Decide what part of the page to focus on and figure out what HTML or CSS to select it
- Select that HTML and analyze it
There are others, though.
html_attr()for grabbing linkshtml_table()to parse an html table into a data framehtml_form_submit()if you want to set values in a form submission
When scraping we’ll set a timer at the end of the loop to wait after
each loop so we don’t overwhelm their servers (or get banned). The
function is Sys.sleep().
Sometimes you may not need to scrape a website if you can find the JSON a website loads to run. If you enable “Inspect Element” in your browser, you can see all the pieces that a website needs to run when you reload it. If you scrape data, try to follow these general rules:
- Do not overwhelm their servers. Put in pauses so you’re not effectively running a distributed denial of service attack on them.
- Do not display any raw data that could identify individuals in the data
- Only show data relevant to your story and proves your methodology and not any proprietary information
Module 2: Loops
# basic for loop structure
for (i in 1:10) {
print(i)
}## [1] 1
## [1] 2
## [1] 3
## [1] 4
## [1] 5
## [1] 6
## [1] 7
## [1] 8
## [1] 9
## [1] 10# using length()
states <- c("Texas", "Florida", "California", "New York", "Indiana", "Maine")
for (arbitrary_name in 1:length(states)) {
print(arbitrary_name)
}## [1] 1
## [1] 2
## [1] 3
## [1] 4
## [1] 5
## [1] 6for (i in 1:length(states)) {
print(str_c("array object ", i, " is ", states[i]))
}## [1] "array object 1 is Texas"
## [1] "array object 2 is Florida"
## [1] "array object 3 is California"
## [1] "array object 4 is New York"
## [1] "array object 5 is Indiana"
## [1] "array object 6 is Maine"# getting the data
df1 <- read_csv("input/covid_data/2020-01.csv")
df2 <- read_csv("input/covid_data/2020-02.csv")
df <- rbind(df1, df2) %>%
glimpse()## Rows: 39
## Columns: 4
## $ Country_Region <chr> "US", "US", "US", "US", "US", "US", "US", "US", "US", "…
## $ date <date> 2020-01-22, 2020-01-23, 2020-01-24, 2020-01-25, 2020-0…
## $ confirmed <dbl> 1, 1, 2, 2, 5, 5, 5, 6, 6, 8, 8, 8, 11, 11, 11, 12, 12,…
## $ daily <dbl> NA, 0, 1, 0, 3, 0, 0, 1, 0, 2, 0, 0, 3, 0, 0, 1, 0, 0, …# getting the list of data files
sheets <- list.files("input/covid_data", full.names = TRUE)
sheets## [1] "input/covid_data/2020-01.csv" "input/covid_data/2020-02.csv"
## [3] "input/covid_data/2020-03.csv" "input/covid_data/2020-04.csv"
## [5] "input/covid_data/2020-05.csv" "input/covid_data/2020-06.csv"
## [7] "input/covid_data/2020-07.csv" "input/covid_data/2020-08.csv"
## [9] "input/covid_data/2020-09.csv" "input/covid_data/2020-10.csv"
## [11] "input/covid_data/2020-11.csv" "input/covid_data/2020-12.csv"
## [13] "input/covid_data/2021-01.csv" "input/covid_data/2021-02.csv"
## [15] "input/covid_data/2021-03.csv" "input/covid_data/2021-04.csv"
## [17] "input/covid_data/2021-05.csv" "input/covid_data/2021-06.csv"
## [19] "input/covid_data/2021-07.csv" "input/covid_data/2021-08.csv"
## [21] "input/covid_data/2021-09.csv" "input/covid_data/2021-10.csv"
## [23] "input/covid_data/2021-11.csv" "input/covid_data/2021-12.csv"
## [25] "input/covid_data/2022-01.csv" "input/covid_data/2022-02.csv"
## [27] "input/covid_data/2022-03.csv" "input/covid_data/2022-04.csv"
## [29] "input/covid_data/2022-05.csv" "input/covid_data/2022-06.csv"
## [31] "input/covid_data/2022-07.csv" "input/covid_data/2022-08.csv"length(sheets)## [1] 32# importing the data in an iterative way (but not saving it!)
for (i in 1:length(sheets)) {
read_csv(sheets[i])
print(sheets[i])
}## [1] "input/covid_data/2020-01.csv"
## [1] "input/covid_data/2020-02.csv"
## [1] "input/covid_data/2020-03.csv"
## [1] "input/covid_data/2020-04.csv"
## [1] "input/covid_data/2020-05.csv"
## [1] "input/covid_data/2020-06.csv"
## [1] "input/covid_data/2020-07.csv"
## [1] "input/covid_data/2020-08.csv"
## [1] "input/covid_data/2020-09.csv"
## [1] "input/covid_data/2020-10.csv"
## [1] "input/covid_data/2020-11.csv"
## [1] "input/covid_data/2020-12.csv"
## [1] "input/covid_data/2021-01.csv"
## [1] "input/covid_data/2021-02.csv"
## [1] "input/covid_data/2021-03.csv"
## [1] "input/covid_data/2021-04.csv"
## [1] "input/covid_data/2021-05.csv"
## [1] "input/covid_data/2021-06.csv"
## [1] "input/covid_data/2021-07.csv"
## [1] "input/covid_data/2021-08.csv"
## [1] "input/covid_data/2021-09.csv"
## [1] "input/covid_data/2021-10.csv"
## [1] "input/covid_data/2021-11.csv"
## [1] "input/covid_data/2021-12.csv"
## [1] "input/covid_data/2022-01.csv"
## [1] "input/covid_data/2022-02.csv"
## [1] "input/covid_data/2022-03.csv"
## [1] "input/covid_data/2022-04.csv"
## [1] "input/covid_data/2022-05.csv"
## [1] "input/covid_data/2022-06.csv"
## [1] "input/covid_data/2022-07.csv"
## [1] "input/covid_data/2022-08.csv"# importing the data and saving as one big data frame
for (i in 1:length(sheets)) {
df <- read_csv(sheets[i])
# if first time looping, save df as big_df
if (i == 1) {
big_df <- df
} else {
# if not the first time looping, then rbind it to big_df
big_df <- rbind(big_df, df)
}
print(nrow(big_df))
}## [1] 10
## [1] 39
## [1] 70
## [1] 100
## [1] 131
## [1] 161
## [1] 192
## [1] 223
## [1] 253
## [1] 284
## [1] 314
## [1] 345
## [1] 376
## [1] 404
## [1] 435
## [1] 465
## [1] 496
## [1] 526
## [1] 557
## [1] 588
## [1] 618
## [1] 649
## [1] 679
## [1] 710
## [1] 741
## [1] 769
## [1] 800
## [1] 830
## [1] 861
## [1] 891
## [1] 922
## [1] 934glimpse(big_df)## Rows: 934
## Columns: 4
## $ Country_Region <chr> "US", "US", "US", "US", "US", "US", "US", "US", "US", "…
## $ date <date> 2020-01-22, 2020-01-23, 2020-01-24, 2020-01-25, 2020-0…
## $ confirmed <dbl> 1, 1, 2, 2, 5, 5, 5, 6, 6, 8, 8, 8, 11, 11, 11, 12, 12,…
## $ daily <dbl> NA, 0, 1, 0, 3, 0, 0, 1, 0, 2, 0, 0, 3, 0, 0, 1, 0, 0, …# detecting cores
detectCores()## [1] 8# how many cores
registerDoParallel(cores = 4)
# checking system time
system.time(
for (i in 1:length(sheets)) {
df <- read_csv(sheets[i])
# if first time looping, save df as big_df
if (i == 1) {
big_df <- df
} else {
# if not the first time looping, then rbind it to big_df
big_df <- rbind(big_df, df)
}
print(nrow(big_df))
}
)## [1] 10
## [1] 39
## [1] 70
## [1] 100
## [1] 131
## [1] 161
## [1] 192
## [1] 223
## [1] 253
## [1] 284
## [1] 314
## [1] 345
## [1] 376
## [1] 404
## [1] 435
## [1] 465
## [1] 496
## [1] 526
## [1] 557
## [1] 588
## [1] 618
## [1] 649
## [1] 679
## [1] 710
## [1] 741
## [1] 769
## [1] 800
## [1] 830
## [1] 861
## [1] 891
## [1] 922
## [1] 934## User System verstrichen
## 0.442 0.029 0.460# checking in pararell
system.time(
big_df <- foreach(i = 1:length(sheets), .combine = rbind) %dopar% {
read_csv(sheets[i])
}
)## User System verstrichen
## 0.506 0.269 0.210# getting JSON requests from APIs
url <-"https://arcos-api.ext.nile.works/v1/combined_county_annual?key=WaPo&county=Mingo&state=WV"
mingo <- fromJSON(url)
mingo## BUYER_COUNTY BUYER_STATE year count DOSAGE_UNIT countyfips
## 1 MINGO WV 2006 4192 4691980 54059
## 2 MINGO WV 2007 5389 7511830 54059
## 3 MINGO WV 2008 7496 9795100 54059
## 4 MINGO WV 2009 7227 7464630 54059
## 5 MINGO WV 2010 4466 3162950 54059
## 6 MINGO WV 2011 4243 2863950 54059
## 7 MINGO WV 2012 4141 2779190 54059
## 8 MINGO WV 2013 4189 2562840 54059
## 9 MINGO WV 2014 3784 2414610 54059# getting more data
base <- "https://arcos-api.ext.nile.works/v1/combined_county_annual"
county <- "Palm Beach"
county <- URLencode(county)
state <- "FL"
info_key <- "key=WaPo"
API_URL <- str_c(base, "?county=", county, "&state=", state, "&", info_key)
fromJSON(API_URL)## BUYER_COUNTY BUYER_STATE year count DOSAGE_UNIT countyfips
## 1 PALM BEACH FL 2006 112061 39492819 12099
## 2 PALM BEACH FL 2007 119234 48679842 12099
## 3 PALM BEACH FL 2008 120101 57104985 12099
## 4 PALM BEACH FL 2009 124892 70419057 12099
## 5 PALM BEACH FL 2010 124760 72105280 12099
## 6 PALM BEACH FL 2011 116957 53235431 12099
## 7 PALM BEACH FL 2012 109981 40403512 12099
## 8 PALM BEACH FL 2013 115336 36879426 12099
## 9 PALM BEACH FL 2014 98750 36062476 12099# looping to make an API call
counties <- c("Broward", "Miami-Dade", "Palm Beach")
base <- 'https://arcos-api.ext.nile.works/v1/combined_county_annual'
for (i in 1:length(counties)) {
county <- counties[i]
county <- URLencode(county)
state <- "FL"
info_key <- "key=WaPo"
API_URL <- str_c(base, "?county=", county, "&state=", state, "&", info_key)
df <- fromJSON(API_URL)
if (i == 1) {
tidy_df <- df
} else {
tidy_df <- rbind(tidy_df, df)
}
}
tidy_df## BUYER_COUNTY BUYER_STATE year count DOSAGE_UNIT countyfips
## 1 BROWARD FL 2006 132503 58919069 12011
## 2 BROWARD FL 2007 139377 71823464 12011
## 3 BROWARD FL 2008 142896 82629498 12011
## 4 BROWARD FL 2009 147200 95286792 12011
## 5 BROWARD FL 2010 154319 107584155 12011
## 6 BROWARD FL 2011 140863 69949463 12011
## 7 BROWARD FL 2012 124960 48581182 12011
## 8 BROWARD FL 2013 129641 43513585 12011
## 9 BROWARD FL 2014 112580 42581996 12011
## 10 MIAMI-DADE FL 2006 68404 22299594 12086
## 11 MIAMI-DADE FL 2007 71798 25692974 12086
## 12 MIAMI-DADE FL 2008 74757 28451804 12086
## 13 MIAMI-DADE FL 2009 80598 35005383 12086
## 14 MIAMI-DADE FL 2010 87563 46211285 12086
## 15 MIAMI-DADE FL 2011 92543 46191079 12086
## 16 MIAMI-DADE FL 2012 78864 30021954 12086
## 17 MIAMI-DADE FL 2013 82105 27127532 12086
## 18 MIAMI-DADE FL 2014 73715 25444352 12086
## 19 PALM BEACH FL 2006 112061 39492819 12099
## 20 PALM BEACH FL 2007 119234 48679842 12099
## 21 PALM BEACH FL 2008 120101 57104985 12099
## 22 PALM BEACH FL 2009 124892 70419057 12099
## 23 PALM BEACH FL 2010 124760 72105280 12099
## 24 PALM BEACH FL 2011 116957 53235431 12099
## 25 PALM BEACH FL 2012 109981 40403512 12099
## 26 PALM BEACH FL 2013 115336 36879426 12099
## 27 PALM BEACH FL 2014 98750 36062476 12099# reading HTML with rvest::read_html()
url <- "https://www.amazon.com/product-reviews/B09XF2Z12G/"
amazon <- read_html(url)
amazon## {html_document}
## <html lang="en-us" class="a-no-js" data-19ax5a9jf="dingo">
## [1] <head>\n<meta http-equiv="Content-Type" content="text/html; charset=UTF-8 ...
## [2] <body>\n<span id="cr-state-object" data-state='{"asin":"B09XF2Z12G","devi ...# getting the elements and content (text)
ratings <- amazon %>%
html_nodes("#cm_cr-review_list .review-rating") %>%
html_text()
ratings## [1] "4.0 out of 5 stars" "5.0 out of 5 stars" "4.0 out of 5 stars"
## [4] "5.0 out of 5 stars" "4.0 out of 5 stars" "5.0 out of 5 stars"
## [7] "5.0 out of 5 stars" "4.0 out of 5 stars" "5.0 out of 5 stars"
## [10] "5.0 out of 5 stars"dates <- amazon %>%
html_nodes("#cm_cr-review_list .review-date") %>%
html_text()
dates## [1] "Reviewed in the United States on July 26, 2022"
## [2] "Reviewed in the United States on September 18, 2022"
## [3] "Reviewed in the United States on July 17, 2022"
## [4] "Reviewed in the United States on September 9, 2022"
## [5] "Reviewed in the United States on September 2, 2022"
## [6] "Reviewed in the United States on September 11, 2022"
## [7] "Reviewed in the United States on July 20, 2022"
## [8] "Reviewed in the United States on September 5, 2022"
## [9] "Reviewed in the United States on August 5, 2022"
## [10] "Reviewed in the United States on July 14, 2022"review_text <- amazon %>%
html_nodes(".a-spacing-small.review-data") %>%
html_text()
review_text## [1] "\n\n\n\n\n\n\n\n \n \n (UPDATE - 07/29/22): No response from this seller. Although I'm disappointed in the service I've received, the product is still a solid choice for me. 4 stars. Thank you(ORIGINAL):Hi, my name's George. As a person who works with the public often, I started shopping on Amazon for a small, affordable voice recorder. In order to protect my interests during my work, I needed a portable solution so that I could still fully devote myself to my work & passion which is engaging in freelance entertainment. I purchased the L87 recorder on Amazon Prime Day '22 since it was on a deal at that time. My expectations weren't all that high as I'm all-in-all, a pretty low-maintenance kind of guy.Wow! I was very impressed with this product once it arrived. The build quality of the device was the first thing that I noticed. Other recorders I've used were made with mostly cheap plastic, and this is an all-metal body device.I purchased the device for its USB-C connectivity, as many of the other devices I own now have USB-C connectors to charge and faster transfer rates. The \"VOICE-ONLY\" recording feature was a pleasant surprise as I had really accumulated a mess of silent MBs on my recordings using other devices.Finally, the BUTTON-LOCK feature was really what sold me. I had encountered incidents in the past while using other recorders I had purchased. I had lost very special moments due to accidently mispressing a button while the recorder had been loose in my pocket. That type of concern doesn't bother me anymore as you have to press-and-hold the unlock button for an accidental press to have any effect on your recording.On top of all this, the seller has been VERY accommodating and had even offered an incentive for just sharing my experience with their product. A nice touch! I am hugely impressed, and will keep this seller in mind for future purchases where applicable. Thanks for reading !\n \n"
## [2] "\n\n\n\n\n\n\n\n \n \n Records high quality audio and is very simple and easy to use. Clean and sleek. Perfect for lecture notes and more.\n \n"
## [3] "\n\n\n\n\n\n\n\n \n \n My only problem is that the manual, as often happens with products that are made in other countries - which is, I suspect, what happened here - and after spending so much time and money on R&D and manufacture, companies often decide to use non-native English speakers to write their manuals. Without going into detail, there are several places in which it is clear that the person has a good grasp of English, but it is insufficient to avoid several sentences which are confusing. Rather than going into this, I suggest you have a native speaker read through the manual. He will quickly find what I'm talking about. Once this is corrected, the manual will be much better. Otherwise, I'm fine with the product.\n \n"
## [4] "\n\n\n\n\n\n\n\n \n \n I was hoping for a straight forward recorder that was easy to use. That was exactly what I got. It holds a good amount for what I need it for. Would recommend to others\n \n"
## [5] "\n\n\n\n\n\n\n\n \n \n I enjoy the size of the recorder. Also, it picks up minute sounds. However, I would like to be able to put titles/headings on the different recordings. This recorder does not allow the aforementioned step.\n \n"
## [6] "\n\n\n\n\n\n\n\n \n \n I was nervous at first but when I learned how to use it, it was very easy to record and just as easy to upload to my computer.\n \n"
## [7] "\n\n\n\n\n\n\n\n \n \n This recorder is definitely worth considering if you are looking for amazing sound quality, ease of use, features, and the asking price because this ticks all of the boxes and many more! My son has made great use out of this in college as he wants to capture the important information from his instructor, and this is where the microphone sensitivity comes into play--he can adjust it depending on the size of building and how far the instructor is. I like that they included a 32GB SD card along with its 16GB of internal storage--a lot of storage in that department! It has an amazing battery life, and its charge time is very fast thanks to the USB-C port. The recorder's build quality is amazing--especially at this price point--it's professionally made and well built. Overall, I'm very happy that I purchased this recorder for my son! It's definitely worth every penny!\n \n"
## [8] "\n\n\n\n\n\n\n\n \n \n The product had good reviews so I wanted to give it a try. Perfect for what I need to record. I would recommend this product.\n \n"
## [9] "\n\n\n\n\n\n\n\n \n \n This digital voice recorder has the simplest setup. I just read the first paragraph on page one. You should be able to up and activated all the options icluding VAR,(Voice Activated Recoding) tarssferring the wav/MP3 files to the SD card instead of the rest within 5 minutes. The negative comments about setu problem is unjustified. The VAR works from 15 feet ( I have not tries further tahn that). You can leave the power on VAR will will be intialized only when someone is talking. I like the digital recorder and my grand daughter uses this every day in college.\n \n"
## [10] "\n\n\n\n\n\n\n\n \n \n So many recorders to choose from that I was hesitant picking this one but it's very handy with a lot of features. The instructions are very easy to understand that I had it set up and using in about 10 minutes or less. You can loop your recording, set points to playback from one point (A) to (B), slow the playback speed down or speed it up without it sounding like chipmunks lol, protect with a password, has an equalizer with presets like rock, punk, etc., comes with 16gb on device and a 32gb micro SD card in device and can take a maximum of 128gb micro SD card, and so much more. If your looking for a voice recorder with a lot of features in a compact design that fits in your pocket then buy this, I highly recommend it.\n \n"some_reviews <- data.frame(ratings, dates, review_text)
glimpse(some_reviews)## Rows: 10
## Columns: 3
## $ ratings <chr> "4.0 out of 5 stars", "5.0 out of 5 stars", "4.0 out of 5 …
## $ dates <chr> "Reviewed in the United States on July 26, 2022", "Reviewe…
## $ review_text <chr> "\n\n\n\n\n\n\n\n \n \n (UPDATE - 07/29/22): No respo…# wrangling the data
some_reviews <- some_reviews %>%
mutate(
# Need to get the ratings into a numeric format instead of sentence format
ratings = str_replace(ratings, " out of 5 stars", ""),
ratings = as.numeric(ratings),
# Need to turn the dates into a date format instead of sentence format
dates = str_replace(dates, ".* on ", ""),
dates = mdy(dates),
# Let's get rid of extra spaces and \ns taht indicate line breaks in the html code
review_text = str_trim(review_text)
)
glimpse(some_reviews)## Rows: 10
## Columns: 3
## $ ratings <dbl> 4, 5, 4, 5, 4, 5, 5, 4, 5, 5
## $ dates <date> 2022-07-26, 2022-09-18, 2022-07-17, 2022-09-09, 2022-09-02…
## $ review_text <chr> "(UPDATE - 07/29/22): No response from this seller. Altho…# getting the total number of reviews
total_reviews <- amazon %>%
html_nodes("#filter-info-section .a-size-base") %>%
html_text() %>%
str_trim() %>%
str_replace(".*ratings, ", "") %>%
parse_number()
total_reviews## [1] 374# looping throughout all pages
for (i in 1:round(total_reviews / 10)) {
base_url <- "https://www.amazon.com/48GB-Digital-Voice-Recorder-Dictaphone/product-reviews/B09XF2Z12G/?ie=UTF8&reviewerType=all_reviews&pageNumber="
new_url <- str_c(base_url, i)
amazon <- read_html(new_url)
ratings <- amazon %>%
html_nodes("#cm_cr-review_list .review-rating") %>%
html_text()
dates <- amazon %>%
html_nodes("#cm_cr-review_list .review-date") %>%
html_text()
review_text <- amazon %>%
html_nodes(".a-spacing-small.review-data") %>%
html_text()
some_reviews <- data.frame(ratings, dates, review_text) %>%
mutate(
ratings = str_replace(ratings, " out of 5 stars", ""),
ratings = as.numeric(ratings),
dates = str_replace(dates, ".* on ", ""),
dates = mdy(dates),
review_text = str_trim(review_text)
)
if (i == 1) {
all_reviews <- some_reviews
} else {
all_reviews <- rbind(all_reviews, some_reviews)
}
Sys.sleep(1)
}
all_reviews## ratings dates
## 1 4 2022-07-26
## 2 5 2022-09-18
## 3 4 2022-07-17
## 4 5 2022-09-09
## 5 4 2022-09-02
## 6 5 2022-09-11
## 7 5 2022-07-20
## 8 4 2022-09-05
## 9 5 2022-08-05
## 10 5 2022-07-14
## 11 5 2022-09-21
## 12 4 2022-06-02
## 13 5 2022-08-15
## 14 5 2022-09-16
## 15 5 2022-08-20
## 16 5 2022-09-15
## 17 5 2022-07-29
## 18 5 2022-07-23
## 19 5 2022-07-27
## 20 5 2022-09-12
## 21 5 2022-08-07
## 22 5 2022-08-22
## 23 5 2022-08-18
## 24 4 2022-08-23
## 25 5 2022-09-07
## 26 5 2022-07-12
## 27 5 2022-07-26
## 28 4 2022-07-26
## 29 5 2022-08-10
## 30 4 2022-08-10
## 31 5 2022-08-24
## 32 5 2022-09-04
## 33 5 2022-07-14
## 34 5 2022-07-23
## 35 5 2022-07-19
## 36 5 2022-08-24
## 37 5 2022-07-22
## 38 5 2022-07-22
## 39 4 2022-07-20
## 40 5 2022-07-18
## 41 5 2022-07-22
## 42 5 2022-08-20
## 43 5 2022-08-16
## 44 4 2022-06-29
## 45 4 2022-07-27
## 46 4 2022-07-06
## 47 5 2022-07-22
## 48 4 2022-06-29
## 49 4 2022-07-14
## 50 4 2022-07-18
## 51 4 2022-07-09
## 52 5 2022-07-29
## 53 5 2022-07-01
## 54 5 2022-08-13
## 55 5 2022-07-17
## 56 5 2022-08-18
## 57 5 2022-07-23
## 58 5 2022-08-09
## 59 5 2022-08-09
## 60 5 2022-08-06
## 61 5 2022-07-02
## 62 5 2022-08-08
## 63 5 2022-07-18
## 64 5 2022-08-04
## 65 4 2022-05-28
## 66 3 2022-09-14
## 67 5 2022-08-05
## 68 5 2022-08-14
## 69 5 2022-06-24
## 70 5 2022-07-10
## 71 4 2022-07-12
## 72 5 2022-08-10
## 73 5 2022-07-25
## 74 5 2022-07-24
## 75 5 2022-08-03
## 76 5 2022-08-09
## 77 4 2022-06-13
## 78 5 2022-07-14
## 79 4 2022-06-03
## 80 4 2022-06-19
## 81 5 2022-07-25
## 82 5 2022-07-30
## 83 5 2022-08-02
## 84 5 2022-07-30
## 85 5 2022-07-18
## 86 5 2022-07-10
## 87 4 2022-06-29
## 88 5 2022-08-01
## 89 5 2022-07-31
## 90 5 2022-08-01
## 91 5 2022-07-21
## 92 5 2022-07-07
## 93 5 2022-07-15
## 94 4 2022-06-17
## 95 5 2022-07-16
## 96 5 2022-07-18
## 97 5 2022-07-21
## 98 5 2022-07-29
## 99 5 2022-07-28
## 100 5 2022-07-15
## 101 5 2022-07-26
## 102 5 2022-07-12
## 103 5 2022-07-20
## 104 5 2022-07-28
## 105 5 2022-07-16
## 106 5 2022-07-26
## 107 5 2022-07-22
## 108 5 2022-07-18
## 109 5 2022-07-17
## 110 5 2022-07-07
## 111 5 2022-07-21
## 112 5 2022-07-30
## 113 5 2022-07-24
## 114 5 2022-07-23
## 115 5 2022-06-30
## 116 5 2022-07-30
## 117 5 2022-06-21
## 118 5 2022-07-15
## 119 5 2022-06-29
## 120 5 2022-07-06
## 121 5 2022-07-29
## 122 5 2022-07-21
## 123 5 2022-07-11
## 124 5 2022-07-19
## 125 5 2022-07-03
## 126 5 2022-06-19
## 127 5 2022-07-23
## 128 5 2022-07-13
## 129 5 2022-06-11
## 130 5 2022-06-12
## 131 5 2022-07-05
## 132 5 2022-07-19
## 133 5 2022-07-19
## 134 5 2022-07-19
## 135 5 2022-07-20
## 136 5 2022-07-12
## 137 5 2022-06-23
## 138 5 2022-07-08
## 139 5 2022-07-19
## 140 5 2022-07-19
## 141 5 2022-07-12
## 142 5 2022-07-14
## 143 5 2022-07-19
## 144 5 2022-06-13
## 145 5 2022-07-17
## 146 5 2022-07-06
## 147 5 2022-06-27
## 148 5 2022-07-13
## 149 5 2022-07-13
## 150 5 2022-07-13
## 151 5 2022-07-20
## 152 5 2022-07-19
## 153 5 2022-06-28
## 154 5 2022-06-18
## 155 5 2022-07-11
## 156 5 2022-06-24
## 157 5 2022-07-10
## 158 5 2022-07-12
## 159 5 2022-06-17
## 160 5 2022-07-17
## 161 5 2022-06-18
## 162 5 2022-06-09
## 163 5 2022-06-27
## 164 2 2022-06-10
## 165 5 2022-07-14
## 166 5 2022-07-21
## 167 5 2022-06-10
## 168 5 2022-07-08
## 169 5 2022-07-14
## 170 5 2022-07-19
## 171 5 2022-06-16
## 172 5 2022-07-02
## 173 5 2022-06-09
## 174 5 2022-07-16
## 175 5 2022-06-17
## 176 5 2022-06-01
## 177 5 2022-07-09
## 178 5 2022-07-05
## 179 5 2022-07-11
## 180 5 2022-07-11
## 181 5 2022-07-08
## 182 5 2022-06-25
## 183 5 2022-07-10
## 184 5 2022-06-24
## 185 5 2022-07-12
## 186 5 2022-07-10
## 187 5 2022-07-09
## 188 5 2022-06-29
## 189 5 2022-07-04
## 190 5 2022-07-07
## 191 5 2022-06-16
## 192 5 2022-06-19
## 193 5 2022-07-07
## 194 5 2022-06-20
## 195 5 2022-06-29
## 196 5 2022-06-05
## 197 5 2022-06-20
## 198 5 2022-06-19
## 199 5 2022-06-11
## 200 5 2022-06-22
## 201 5 2022-07-08
## 202 5 2022-07-10
## 203 5 2022-07-03
## 204 5 2022-07-04
## 205 5 2022-07-01
## 206 5 2022-05-26
## 207 5 2022-06-28
## 208 5 2022-06-20
## 209 5 2022-06-22
## 210 5 2022-06-16
## 211 5 2022-06-27
## 212 5 2022-07-01
## 213 5 2022-06-22
## 214 5 2022-06-09
## 215 5 2022-07-04
## 216 5 2022-06-28
## 217 5 2022-06-23
## 218 5 2022-06-25
## 219 5 2022-06-29
## 220 5 2022-07-09
## 221 5 2022-07-03
## 222 5 2022-06-24
## 223 5 2022-06-19
## 224 5 2022-07-07
## 225 5 2022-06-29
## 226 5 2022-06-15
## 227 5 2022-06-21
## 228 5 2022-06-17
## 229 5 2022-06-10
## 230 3 2022-06-22
## 231 5 2022-06-23
## 232 5 2022-06-27
## 233 5 2022-07-05
## 234 5 2022-06-26
## 235 5 2022-06-26
## 236 5 2022-06-10
## 237 5 2022-06-18
## 238 5 2022-05-30
## 239 5 2022-06-28
## 240 5 2022-07-02
## 241 5 2022-05-25
## 242 5 2022-06-12
## 243 5 2022-06-09
## 244 5 2022-05-23
## 245 5 2022-06-11
## 246 5 2022-06-23
## 247 5 2022-05-27
## 248 5 2022-06-30
## 249 5 2022-06-06
## 250 5 2022-06-21
## 251 5 2022-06-01
## 252 5 2022-06-24
## 253 5 2022-06-21
## 254 5 2022-06-22
## 255 3 2022-06-04
## 256 3 2022-07-19
## 257 5 2022-06-17
## 258 5 2022-06-25
## 259 5 2022-06-28
## 260 5 2022-06-22
## 261 5 2022-05-15
## 262 2 2022-08-19
## 263 5 2022-06-20
## 264 5 2022-06-09
## 265 5 2022-05-19
## 266 5 2022-06-21
## 267 5 2022-06-09
## 268 5 2022-06-10
## 269 5 2022-05-24
## 270 5 2022-06-06
## 271 5 2022-06-09
## 272 5 2022-06-10
## 273 5 2022-06-06
## 274 5 2022-06-16
## 275 5 2022-06-07
## 276 5 2022-06-09
## 277 5 2022-06-17
## 278 5 2022-06-17
## 279 5 2022-06-21
## 280 5 2022-06-09
## 281 5 2022-06-16
## 282 5 2022-06-21
## 283 5 2022-05-19
## 284 5 2022-06-02
## 285 5 2022-05-20
## 286 5 2022-06-15
## 287 5 2022-07-09
## 288 5 2022-06-21
## 289 5 2022-06-10
## 290 5 2022-06-14
## 291 5 2022-06-10
## 292 5 2022-06-06
## 293 5 2022-05-29
## 294 5 2022-06-11
## 295 5 2022-05-27
## 296 2 2022-09-19
## 297 5 2022-06-17
## 298 5 2022-05-24
## 299 5 2022-05-15
## 300 5 2022-05-30
## 301 5 2022-05-13
## 302 2 2022-08-09
## 303 2 2022-08-17
## 304 2 2022-09-11
## 305 2 2022-07-16
## 306 2 2022-06-14
## 307 2 2022-07-18
## 308 1 2022-09-06
## 309 1 2022-09-16
## 310 1 2022-09-22
## 311 1 2022-08-24
## 312 1 2022-07-25
## 313 1 2022-07-06
## 314 1 2022-06-12
## 315 4 2022-08-24
## 316 5 2022-09-11
## 317 5 2022-09-04
## 318 5 2022-08-19
## 319 5 2022-08-23
## 320 5 2022-08-15
## 321 5 2022-08-08
## 322 5 2022-08-09
## 323 5 2022-07-28
## 324 5 2022-07-28
## 325 5 2022-07-22
## 326 5 2022-07-20
## 327 5 2022-07-21
## 328 5 2022-07-11
## 329 5 2022-07-06
## 330 5 2022-07-04
## 331 5 2022-07-08
## 332 5 2022-07-03
## 333 5 2022-06-28
## 334 5 2022-06-26
## 335 5 2022-07-01
## 336 5 2022-06-17
## 337 5 2022-06-11
## 338 5 2022-06-20
## 339 5 2022-06-21
## 340 5 2022-06-06
## 341 5 2022-06-16
## 342 5 2022-06-07
## 343 5 2022-07-27
## 344 5 2022-06-12
## 345 5 2022-07-27
## 346 5 2022-07-21
## 347 5 2022-06-06
## 348 5 2022-06-27
## 349 4 2022-06-29
## 350 5 2022-06-11
## 351 5 2022-07-31
## 352 5 2022-06-28
## 353 5 2022-07-26
## 354 5 2022-07-08
## 355 5 2022-08-11
## 356 5 2022-07-09
## 357 5 2022-08-14
## 358 5 2022-08-04
## 359 5 2022-06-16
## 360 5 2022-07-26
## 361 4 2022-08-08
## 362 5 2022-06-18
## 363 5 2022-09-02
## 364 5 2022-06-13
## 365 5 2022-09-09
## 366 5 2022-07-23
## 367 1 2022-09-26
## 368 4 2022-08-08
## 369 5 2022-07-14
## 370 5 2022-07-21
## review_text
## 1 (UPDATE - 07/29/22): No response from this seller. Although I'm disappointed in the service I've received, the product is still a solid choice for me. 4 stars. Thank you(ORIGINAL):Hi, my name's George. As a person who works with the public often, I started shopping on Amazon for a small, affordable voice recorder. In order to protect my interests during my work, I needed a portable solution so that I could still fully devote myself to my work & passion which is engaging in freelance entertainment. I purchased the L87 recorder on Amazon Prime Day '22 since it was on a deal at that time. My expectations weren't all that high as I'm all-in-all, a pretty low-maintenance kind of guy.Wow! I was very impressed with this product once it arrived. The build quality of the device was the first thing that I noticed. Other recorders I've used were made with mostly cheap plastic, and this is an all-metal body device.I purchased the device for its USB-C connectivity, as many of the other devices I own now have USB-C connectors to charge and faster transfer rates. The "VOICE-ONLY" recording feature was a pleasant surprise as I had really accumulated a mess of silent MBs on my recordings using other devices.Finally, the BUTTON-LOCK feature was really what sold me. I had encountered incidents in the past while using other recorders I had purchased. I had lost very special moments due to accidently mispressing a button while the recorder had been loose in my pocket. That type of concern doesn't bother me anymore as you have to press-and-hold the unlock button for an accidental press to have any effect on your recording.On top of all this, the seller has been VERY accommodating and had even offered an incentive for just sharing my experience with their product. A nice touch! I am hugely impressed, and will keep this seller in mind for future purchases where applicable. Thanks for reading !
## 2 Records high quality audio and is very simple and easy to use. Clean and sleek. Perfect for lecture notes and more.
## 3 My only problem is that the manual, as often happens with products that are made in other countries - which is, I suspect, what happened here - and after spending so much time and money on R&D and manufacture, companies often decide to use non-native English speakers to write their manuals. Without going into detail, there are several places in which it is clear that the person has a good grasp of English, but it is insufficient to avoid several sentences which are confusing. Rather than going into this, I suggest you have a native speaker read through the manual. He will quickly find what I'm talking about. Once this is corrected, the manual will be much better. Otherwise, I'm fine with the product.
## 4 I was hoping for a straight forward recorder that was easy to use. That was exactly what I got. It holds a good amount for what I need it for. Would recommend to others
## 5 I enjoy the size of the recorder. Also, it picks up minute sounds. However, I would like to be able to put titles/headings on the different recordings. This recorder does not allow the aforementioned step.
## 6 I was nervous at first but when I learned how to use it, it was very easy to record and just as easy to upload to my computer.
## 7 This recorder is definitely worth considering if you are looking for amazing sound quality, ease of use, features, and the asking price because this ticks all of the boxes and many more! My son has made great use out of this in college as he wants to capture the important information from his instructor, and this is where the microphone sensitivity comes into play--he can adjust it depending on the size of building and how far the instructor is. I like that they included a 32GB SD card along with its 16GB of internal storage--a lot of storage in that department! It has an amazing battery life, and its charge time is very fast thanks to the USB-C port. The recorder's build quality is amazing--especially at this price point--it's professionally made and well built. Overall, I'm very happy that I purchased this recorder for my son! It's definitely worth every penny!
## 8 The product had good reviews so I wanted to give it a try. Perfect for what I need to record. I would recommend this product.
## 9 This digital voice recorder has the simplest setup. I just read the first paragraph on page one. You should be able to up and activated all the options icluding VAR,(Voice Activated Recoding) tarssferring the wav/MP3 files to the SD card instead of the rest within 5 minutes. The negative comments about setu problem is unjustified. The VAR works from 15 feet ( I have not tries further tahn that). You can leave the power on VAR will will be intialized only when someone is talking. I like the digital recorder and my grand daughter uses this every day in college.
## 10 So many recorders to choose from that I was hesitant picking this one but it's very handy with a lot of features. The instructions are very easy to understand that I had it set up and using in about 10 minutes or less. You can loop your recording, set points to playback from one point (A) to (B), slow the playback speed down or speed it up without it sounding like chipmunks lol, protect with a password, has an equalizer with presets like rock, punk, etc., comes with 16gb on device and a 32gb micro SD card in device and can take a maximum of 128gb micro SD card, and so much more. If your looking for a voice recorder with a lot of features in a compact design that fits in your pocket then buy this, I highly recommend it.
## 11 Good recorder, works as described.
## 12 This recorder is a solid piece of tool. First off the price is great. Its not expensive at all. Now for the price, you could assume that the product may not be on par, but you'd be wrong. It's size makes it both easy to have on you all the time and the right size to be able to use the product without fumbling with it. The controls took a second to comprehend, but was easy, (using the instruction booklet), to get and with a couple of usages, I was able to get it well. The sound quality is superb, to where it is too good. I have to remember that unlike my last recorder, I don't have to have the mic so close when taking. My only reason for this product is to be able to gather thoughts and ideas at work and this product helps me to stay focused and remember everything easily. I highly recommend this recorder to anyone looking for this type of tool.
## 13 The product is great for the price! I will disclaim that the rebate requests a 5 star review, which I find shady and avoid doing with most products if it’s requested, but it is a genuinely good product. I use it to record my Dungeons and Dragons sessions so that I can play them back and learn! I’d definitely recommend the product.
## 14 I. Like. It....
## 15 Battery life is great. I like that I can transfer files to my computer quickly and easily. I use this recorder for band practices- the sound quality isn’t great (drums and bass are probably too loud, not the recorder’s fault). Would recommend, especially for the price point.
## 16 Perfect for my college classes
## 17 Not sure if I needed a recorder since I had a cell phone but I was happy with the purchase. Small enough to fit in your pocket, but sturdy and high quality. Recording is good. The playback software is ok, it's not too complicated and there are some cool features if you read the instruction book. The instructions are decent, not perfect (some spelling errors). The playback could be a bit easier, just too many buttons to press, so I wish it was touch screen, but overall, seems like customer service will be good.
## 18 This was the third recorder I ordered (all in this price range); the other 2 were returned. The first was flimsy quality and didn't work, and the second had a red light that came on when first turned on that would not go off and it didn't work. The second vendor never even responded to my help inquiry.This recorder is great; substantial feel, great instructions, perfect size, and works as advertised. I put a neck lanyard on it so I can carry it with me and have it close for note / thought recording. Highly recommend.
## 19 I absolutely love this voice recorder. The small slim size makes it easily fit inside my hand. The button layout is simple and understandable The left side contains a headphone jack that can be used to playback audio if desired. Also, the left side contains a port for the micro SD card and a USB-C port for plugging into one's computer. Once the voice recorder is plugged into the computer, the audio playback system is simple, and you can scroll through different time stamps throughout your entire recording. I would highly recommend this voice recorder, you will not regret this purchase.
## 20 A bit small but mighty for size.
## 21 I like thes product. Et was purchased for someone who es blind to be able to read papers she need to be able to hear and study. She es able to use thes voice recorder easily to retrieve what es recorded. As for the recording, very easy to use and have a long battery life which helps to made et likable. Would purchase again.
## 22 I love the sound quality and the record only when it hears sound and you can adjust the sensitivity of the automatic record feature. I love the size. One of the best recorders I have purchased.
## 23 I have no problems with this product. It was able to pickup every person in the large conference room and was super clear. It was easy to use and didn't need to really read any instructions to learn how to work it.
## 24 I used this in my nursing school classes. Very easy to use.
## 25 The sound quality is good and the device is easy to use
## 26 bought this recorder for my dad so that he could record memories of his life. my mom passed away unexpectedly before I could ask her for more childhood memories so this recorder was my answer for my dad to record the memories with ease. its small so he can easily carry it around with him. he can randomly talk and I will have a permanent record of his life - his childhood, his marriage, raising 3 kids, his greatest memories, thoughts. this is very user friendly and efficient. I plan to purchase one for myself so I can start relaying memories for my daughter to enjoy later in life.
## 27 I love my new voice recorder! It's smaller than I expected but it's so easy to use! It fits easily in any purse, pocketbook, backpack and is easily handheld. the buttons are in a convenient location with plenty of memory - 8 gb internal and the rest is a removable SD card. Well worth the purchase - highly recommended especially for the price! I know my daughter will love this for college!
## 28 Worked well for my purposes after I figured out how to work it. Instructions are a little confusing, but I figured it out with trial and error.
## 29 It took me a minute to figure it out, but once i did, tested it and played it back, I was happy with the product. it is beside my bed for evening note taking.Sleek design, easily held and used.
## 30 I like the sound quality. It is hard to navigate the menu.
## 31 I bought this to my son for college freshman year, he has ADHD and this will be very helpful
## 32
## 33 I use it for lectures. Being a nursing student there is just to much information given at once. This recorder allows me to record my teachers and go back and review later. Even when I use the restroom I don't miss anything. The EVP is my kids thing. They like to spook each other out and started trying to record sounds. There is enough room for my stuff and theirs. So far no crazy other worldly beings in my house. It only records sound. if there is a pause it stops recording.
## 34 Purchased for my dad, because after going through chemo, he has neuropathy in his hands and feet and has very limited use of his hands. He can't write down things anymore. This has become very useful when his doctor calls and makes appointments for him or relays any important information over the phone. The sound quality is great! Thanks for a really great product!
## 35 This recorder is just what I needed. Small, easy to use and the sound recordings are incredibly clear. I have not yet used it to upload recordings to my laptop, however, the instructions seem pretty clear on how to do that. Big plus that you can swap out the SIM card for another. Overall, I would recommend this to anyone looking to record and not take up space on your cell phone.
## 36 My teenage daughter loves this for keeping thoughts together for creative writing.
## 37 This is an awesome digital voice recorder. It is lightweight and fits perfectly in my hand. The menu and buttons are easy to access and the screen is easy to read. The battery life is very good. Seller described item perfectly and shipping was very quick. The sound quality is amazing with no drop outs or distortion. Very satisfied with purchase and product.
## 38 This recorder was pretty easy to use and it was a good deal for the price. My one complaint was that the manual and the website have a lot of grammatical errors and what appears to be a poor English translation. It made it difficult to understand how to use the product. Overall, not bad, just a little difficult to understand.
## 39 I got this for my mom to record all our favorite songs and important information. Neither are tech savvy and this was easy to set up!
## 40 I purchased this voice recorder to replace one I had for about 15 years. It’s a little smaller than the last recorder I had but it’s very durable/heavy duty. It’s very well made. The volume on the recorder can get very loud and it can pick up voices pretty good. It’s definitely a good purchase for the price and I would recommend it to anyone in need of a voice recorder.
## 41 i got this to record lectures at college and it works amazing. it has a long battery life to last through the whole class and great speakers. it comes with a charger and sd card in it already. the recorder is very easy to use i learned how to in minutes. i highly recommend this and would buy it again.
## 42 Battery last a long time. Picks up sound very easily. Overall great product!
## 43 Me ha servido súper bien se escucha muy claro y filtra bien los sonidos.
## 44 This product has a good weight and quality feel. It’s easy to use without instructions and within the instructions there are so many functions. It picks up voice extremely well and doesn’t need to be placed near by to the conversation being recorded. I find it easy to use!
## 45 GREAT PRODUCT
## 46 It had good sound quality and size, but unable to delete recordings. The instructions didn't seem to go with the recorder. It may have just been an issue with that particular recorder, sent it back.
## 47 I'm using this for data collection in my dissertation, and it's working great! Easy to use, easy to play back when I need to transcribe. As a music teacher, I'm also recording sound that isn't voice, and it's been able to toggle back between orchestral sounds and voice sounds easily. Great device!!
## 48 I like how easy it is to use. My son uses it to record how he is doing so he can share with his therapist. With his autism it is easier than writing in a journal.
## 49 Great sound quality, but not suer user friendly. I definitely needed to read the instructions to get things rolling.
## 50 Small enuf to fit in pocket or purse. good quality. Good sound. Difficult instructions
## 51 A little tricky to learn at first, but a great little recorder once you get the hang of it. Would definitely purchase again!
## 52 I am so surprised that I got so much for so little cost. It is mad of strong metal not plastic. The sound quailty is great eve on the lowest MP3 setting as well as WAV.
## 53 Great little digital voice recorder ! Surprised by sound and how far it can reach . Adjustable level and you can even set your music or other files to memory card and keep it in. Comes with 32 gb memeory card and internal memeory 16 gb . It's say it can receive 128 gb card but i didn't try that yet bc it's not necessary. I record and erase if i don't need it. Plus i can store it to my phone and keep it in there . Awesome money spent
## 54 Love the compact design and ease of use
## 55 This recorder has many settings, such as changing the format for the audio files and setting the date so you can tell when you made certain recordings. Once you get to know how it works, it's easy to use. It was nice how it came with a 32 GB micro sd card.
## 56 very satisfied
## 57 I love this recorder! It has such great sound quality and I have never had a problem with it. I use this everyday to keep track of my notes and it just works perfect. Highly recommend!
## 58 Very good recorder keeps charge and has good sound quality
## 59 Customer service was top notch. Love my new recorder.
## 60 Quality for less. I'm recording stories from my husband's grandma to put in a book and it's perfect!
## 61 I got this to keep voice notes (I am very forgetful) and this little recorder is really solid. Interface is similar to a mp3 player (and it is an mp3 player). Voice recordings sound very clear either played on the device or on the computer. Found a decent case for it - https://www.amazon.com/gp/product/B08H4Y5BB3/ (Note: you will have to remove the little plastic insert, but it still works good). Worth the $30, I spent for it.
## 62 To monitor my dog when he is in the house while I am out.
## 63 This sound recorder is easy to use and has great quality. I use it in part for creating videos for work marketing and I do not have anything negative to say about it. I would recommend it to someone looking to use this to record yourself.
## 64 Cool little device, records well and easy to use. Good enough for the girls I go with
## 65 I was happily surprised when I opened the box. This digital recorder feels so well made. It has some weight to it and feels sturdy. It’s very easy to figure out and the setting are pretty self-explanatory. The screen is bright and clear. The buttons feel strong. The recordings are crisp and clear. Exactly what I needed at a great price!
## 66 I needed to purchase a recorder for my college bound son, as he's allowed to record lectures to help him. I was looking for something reasonably priced and simple. I got both of those things with this one. Unfortunately, it is not sensitive and can't pick up what the professor is saying in a typical sized classroom. He sounds like he's whispering.
## 67 I brought this as a gift for my friend and they love it☺️
## 68 Works Per Description
## 69 This is one of the best voice recorders we ever had. The design of it the way it's finished its absolutely out of this world!!!!!! The sound quality and ease of use is just unbelievable and we just ordered more. It's a highly recommended item from this seller and I don't think there is many around of this outstanding quality. We suggest for everyone who is looking to buy vou e recorder - this is the one !!! Top quality electronic gadgets tiny but stands out a lot
## 70 This recorder is easy to use. It is a small recorder which fits easily in your hand. I sometimes have difficulties following directions on new products, but the directions were clear and easy to follow. The recorder has good sound quality. I am quite pleased with this product and the fast delivery in which it arrived.
## 71 nice
## 72 Very nice worth the price
## 73 Not only does it record, you can also put music on it and it has a headphone jack! Heavy duty for being so small. Absolutely love it so far!
## 74 Out of the box and in 5 minutes had recorded and played back. Some features are deep in the menu options, but keep looking and you will find them!
## 75 I like the size of the recorder and the sound quality is great
## 76 Great product works great
## 77 So far it works like advertised. Sound quality is good/pics up voices clearly. Much smaller than I imagined. I like it so far.
## 78 Everything about this recorded puts it above the other options. The optional memory card, on point sound quality, and easy to use. This was the perfect buy for self memos and long format lectures. I AM PLEASED!
## 79 Great small recorder. Having some issues figuring out how to delete files and don’t need the music part but otherwise easy to use and small enough to fit in my pocket.
## 80 I used the product to record memories of childhood memories with goal of compiling a family history.
## 81 Clarity of sound from such a small and compact recorder. Instruction were a little hard to figure out, but works as advertised.
## 82 I am very impressed with L87 digital recorder. It is easy to use and handle.
## 83 has powerful microphonelarge hard drivesmall size to carry
## 84 This recorder 'Rocks'. It does everything it said it does. Great purchase.
## 85 We just received the item today so far so good. We have used it for a quick test run, hoping all stays good as we continue to use the voice recorder.
## 86 Very solid and sturdy little device, really compact and is a really cool looking gadget. Planning on maybe doing an amateur paranormal hunt with some additional equipment as well feel like it picks up a little better then even some phones.
## 87 The mic grill made by plastic.
## 88 It was small and did the job
## 89 The controls are good. The weight makes it feel quality!
## 90 Works great and good memory!
## 91 This recorder was very easy to use right out of the box. Really good sound quality. Will be very useful at work.
## 92 I really like this recorder. I am a newbie and not all that tech savvy, but this was easy to learn. The sound quality is great and it picks up even softer voices. I would highly recommend this recorder. Great value for the price.
## 93 Sound quality was better than expected. Could clearly hear myself when device was across the room (15ft) and had a fan directly next to me while speaking at normal volume
## 94 Very good quality.
## 95 The voice recorder lived up to my expectations. I have been disappointed with the past recorders. I finally found one that is worth the money. The quality is superb.
## 96 I love this digital recorder. Easy to use. Easy to re-listen to. Easy to download what you want when you want
## 97 The compact design and ease of use are a plus. The price and sound quality makes this an excellent value.
## 98 Buena calidad de audio y facil de utilizar
## 99 One of the best recorder I have used for nursing.
## 100 I like the metal case. UI is small but easy to navigate. Functions make sense. Clear directions with included manual. Expanded storage up to 48GB a big plus.
## 101 Excellent quality! Good sound! Easy to use! I recommend this product!
## 102 This product is Excellent. I bought it to play a Table Top Role Playing game called 10 Candles and it fits it's purpose perfectly. Definitely a must buy!
## 103 I like how compact, easy to use and functional this recorder is. Has great record/playback quality.
## 104 Great instructions on use and great sound quality.
## 105 Didn’t expect this to be so sturdy. I was expecting to have to be super delicate, but this thing feels like it’ll hold up.
## 106 Package came quickly, safely, and the product is high quality
## 107 Works good has good volume. Last long easy to charge. All buttons easy to use.
## 108 Mike is very sensitive and picks up voice from 10 feet distance. Very happy with the product.
## 109 This is exactly what I was looking for! Small, compact, high quality and perfect for a variety of needs! Definitely recommend!Great purchase!
## 110 This recorder has good sound quality, lots of storage space, and can be password protected. Can even record conversations coming out of a phone speaker with good clarity if needed. Easy to transfer audio files to computer.
## 111 It arrived early works as it should microphone works great and sound quality is good
## 112 Very easyJet to use
## 113 Exceptional recorder. Good value. Sound quality is excellent.
## 114 Great quality product easy to use good sound quality
## 115 I’m writing my 93 year old dad’s life story, I’m using the recorder when he tells me his stories. I love the fact that it is small and I can just slip it in my pocket.The sound is amazing, very clear. Can’t beat the price!
## 116 Good
## 117 A truly gorgeous Digital Voice Recorder. I'm impressed with the weight of the device. It shows the technical prowess and quality technology used for long-lasting appeal. It also comes with a 32gb SD card which I didn't expect! An extra expense I don't have to worry about adding to my purchase. I can't wait to use it further for years to come
## 118 Item is small and perfect for lectures only issue I really have is the instructions were a bit strangely worded.
## 119 This seller is terrific. Instructions were clear and the device is easy to use. It's small and has great sound. You have many options, but this product is the best I've used yet. Comes with everything you need including a full charge to get started right away.
## 120 Excellent product. I really like the size and sturdiness of the metal case. The recorder is easy to use and the menu system makes it easy to set up and operate.
## 121 works great
## 122 A nice little machine to make a fast note or record a session.
## 123 Product is sleek and perfect size. I like that it's digital and easy to figure out how to use. Fits perfect in my hand.
## 124 So far I like this. It is easy to use and the booklet included is helpful
## 125 This recorder was actually bought for my son who is a musician. He wanted something other than his phone to record snippets when he is working on a new song. Is just what he wanted!
## 126 Unpacked and check the charge. It was fully charged. Went it the settings just to get familiar with the buttons. Left it all at factory settings. Pressed play and recorded for 5 seconds. Played it back. It was very clear, even just on the 512 setting. Deleted the message.
## 127 Worked perfectly to record lectures.
## 128 The color screen is vibrant and full of information. Long battery life and the recording quality is excellent!
## 129 I needed a small device for recording and was not 100% sure this would be the right one. When I got the unit and put it in my hands I knew right off that this was the perfect size. After using it I think I could not have found a better unit and best of all--The price was perfect. Great deal all around
## 130 I got this device to record the voice of my parent, so that if anything happens, I may have the sound of their voice to comfort me. The device is a bit tricky to figure out how to use. So far, I have not downloaded any recordings to a desktop, but when I tried listening to the voice using the device, the voice sounded strange. Hoping the voice sounds more lifelike on the desktop.
## 131 I use this for recording my meetings. Playback is easy, and with the connect to your pc to pull the audio file down. Makes it great for record keeping.
## 132 I love it!! Easy to use and great product
## 133 Great product, good sound quality and simple to use.
## 134 Very easy to use, is exactly what we needed
## 135 Small enough to hold in the palm of your hand
## 136 This recorder has great sound and is very user-friendly. I like the weight, it feels really solid and well-made.
## 137 What do I love about this product? Well, I love how compacted it is and tiny it is. I haven’t bought a voice recorder in 20+ years and it was a pleasant surprise to see how nicely put together this recorder is. User-friendly. Sleek. And sounds great.
## 138 Good recording quality, good playback and simply controls. This is exactly what I wanted from the device and it was delivered on in spades.
## 139 Small & powerful. Clear audio and plenty of space.
## 140 Recording quality is excellent. Very easy to use.
## 141 Bought for daughter. She loves it. Small with decent sound. Relatively easy to use. She's happy I am happy.
## 142 I love this recorder. Easy Set Up. Had Hours of Continued with. no issues
## 143 Pretty easy to use, good sound quality.
## 144 I love this recorder...it so full featured, rechargeable and easy to archive to my laptop for organinzing, backup, archive reference . It comes with a 32gb external storage. I immediately plugged in a 128gb card in place of the 32gb. I have in the 10,000s of hours maybe 100,000 with that memory
## 145 Just what I needed. Works well. Easy to use and download
## 146 I am happy with this product. I use it for qualitative research and it has great audio quality and it is easy to use.
## 147 Slim design 16GB DVR in black with 32GB mini SD card and charger. Easy to record and play back files. Good quality sound, was able to play back tv show 1 min voice recording without echo. Love it!
## 148 It worked great and wasn't terribly expensive. I chose this one for the storage capacity.
## 149 Very compact and appears to be made to last a long time. Quality product.
## 150 A great recorder on all sides brand new at good price.
## 151 Awesome sound, easy to use.
## 152 Everything works great and as advertised!
## 153 Thank you for helping me start my journey as a writer. This is an easy to use tool, easy to transfer the data to an external source, and is a great quality.
## 154 Compact device, hand-held. Quickly charges when connected to laptop via USB cable (included with recorder). Excellent sound quality - really does remove other sound. I recorded with the TV on, and you could only hear my voice when played back. Highly recommend!
## 155 I use this for college lectures. This is small, but it works so well!
## 156 Recording sound quality is very good. I test the built in mic and also line in mode too.The size of the recorder is really small with a solid feel. Well worth the money.
## 157 Easy to use, great sound quality. Easy to carry around and function buttons are easy to understand.
## 158 Great sound quality easy to use and great value for money
## 159 Compact and easy to use. I chose this recorder as it was self-explanatory. Can use it on the fly. I'm using it to record reminders, notes, letters and to record voices of loved ones to have to listen to when they're gone from this Earth. Excellent quality. Not cheaply made like others. Would recommend
## 160 Good recording and playback sound.
## 161 The voice recorder picks up everything, even the clicking of the buttons. So you know that the recorder’s microphones will hear every voice or sound. Its LED screen is very visible and the controls are very easy to understand. Will definitely be using this to make notes to myself for writing my stories and for work.
## 162 The microphone on this device was unexpectedly very strong. I initially thought I might have be close to record things but you can be across the room and it still picks up good sound. It's really easy to use and to figure out. You could use this to record your college lectures, mental notes, and music ideas if you wanted to. Great product and would totally recommend!
## 163 Used USB C which it very nice for me. It’s very loud and the sound quality is good as well. Comes with a 16gb se card so it can hold hours of recordings.
## 164 This recorder's metal construction invokes feelings of quality and durability and has features typically found in more expensive recorders such as an SD card slot and a USB C port, But that's where the good qualities end.What it lacks is pretty significant for performance and usability. The "Two Microphones" are really just solid pieces of plastic which are on either side of ONE microphone port located in the top center of the unit. This is misleading and simply false advertisement which serves no purpose other than to misdirect consumers into believing that they're receiving a higher quality product.To reinforce my beliefs in this discrepancy I started a recording and watched the sound levels on the display only show equal measuments even when lightly tapping one of the false silver microphones which to my understanding would've provided a significant difference in db rating.After a few days the two microphones ended up "falling off" and the sound quality actually improved! It is again my belief that the false mics were interfering with the true mics ability to capture sound by obstructing it. I've since made my own personal mod to keep foreign objects from damaging or obstructing the single mic.Window screening and duct tape for the win!It's Operating Software does not remember user settings in regard to "play mode" so it will repeat or shuffle files unless you change that setting every time you turn the device on.This recorder also has about 7 or so seconds of lag from the time you press the record button to the time it begins recording which is not a user friendly feature.It's price point in my opinion is too high for what you receive. This is not a terrible device but the false microphones are very misleading and do not provide this consumer with confidence.Minus two stars for each false microphone and one additional star for OS that doesn't remember user settings.
## 165 Great quality item. Heavy in weight. Easy to use features.
## 166
## 167 I've been looking for a recorder with decent quality but also very affordable, and this is definitely a great product! It's so hefty for the size, and the quality is fantastic for what I paid! Easy to use instruction manual and I am very excited to use it!
## 168 Great small size, heavy duty feel, easy buttons and a microphone that picks up very soft voices!
## 169 Compact, well made, metal casing, works great.
## 170 Amazing product
## 171 I really enjoy the size and quality of this recorder. Its perfect for any intention and good quality. You can record, save and play back on the device. Don't hesitate to buy if you need one.
## 172 I am definitely happy with this purchase. This is just want I wanted for what I needed for school. Awesome product!
## 173 Small and mighty. Charge when you receive it and be ready to be impressed. I'm using it for lecture and it has about 72hrs of straight recording time. Highly recommended for professional students or anyone who need long hours of recording.
## 174 High quality voice recorder
## 175 I was looking for a voice recorder to record my professor for my lecture class. This is the perfect size and the playback is loud and clear. It's an amazing product. I highly recommend.
## 176 Love this tiny recorder as it will fit into my purse or pocket without adding extra bulk - works easily and clearly. They say nice things come in small packages - so true - it may not be a diamond ring, but it's great for music - or in my case, interviewing folks for a book I'm writing! Great find!
## 177 Some weight to it, easy of use and sound quality is excellent.
## 178 Very good quality for a great value. Clean clear crisp recording. Absolutely love it.
## 179 Item as described. Works for intended purpose.
## 180 For the money this is a solid product.
## 181 It’s a voice recorder, and to that end it performs as expected.
## 182 Quality, well built, great sounding, compact recorder that is at home in your pocket, book bag, or on your desk and fits perfect in your hand too!
## 183 Use the recorder for dictation at work.
## 184 Easy to use, setup. Very strong metal body and you can tell that this is no garbage just by holding it. Price is best i have seen.
## 185 Good quality recording, useful features
## 186 Love it, compact and easy to use
## 187 Will use for class lectures. Great sound quality
## 188 Great product! As described. Needed something small and easy to work with, and this product was perfect for my need.
## 189 Ordered this and it works just as I had hoped. Sound quality is good.
## 190 It came with a sad card. Picks up voices great.
## 191 I am using this peoduct for nursing school. I record myself talking about key points and listed while I am driving, great study tool! The sound quality is amazing!
## 192 The L87 voice recorder is an amazing product! Not only is it easy-to-use the tech support is fantastic. Playback is simple and crystal clear! Thank you!!
## 193 ITEM AS DESCRIBED very good working orderthankyou
## 194 I user this device at work for making notes and being able to give much better and well defines reports of my work
## 195 Great little recorder - easy to slip in your pocket to carry and quality is very good!
## 196 The L87 digitalvoice recorder exceeded my expectations. The unit is solidly built, easy to use and clear voice recording. The compact size is another plus as is the internal rechargeable battery with USB charging. There is nothing to not like about this recorder. Best value anywhere.
## 197 The mic on here is very sensitive and sounds great. Very useful product for music, note taking, and to remember things.
## 198 Product is very easy to understand and use. The product manual is fantastic. The quality of this voice recorder ad fabulous as well!
## 199 I am using this record training meetings for a new job. Sound is very clear and product is very easy to use. Very happy with my purchase!
## 200 This product is exactly what I was looking for. Easy to use and compact. I will be using this for all my future presentations.
## 201 Best voice recorder I've ever ordered!
## 202
## 203 works and sounds exactly like expected. great product!
## 204 Perfect for my daughter who wanted to practice learning music!
## 205 Nice little recorder. Wish it came with a case, but I will survive.
## 206 The recorder records and plays with high quality sound. Sturdy metal body is great. When holding it, feel good with some weight in your hand. Easy to use with better than average battery time. 16 GB internal memory and 32 GB SD card is okay for this price range.
## 207 Intuitive controls, compact size, and good microphone sensitivity. Exactly what I was looking for.
## 208 This is the perfect device for my meeting. Meets requirements to properly document our meetings. Fits perfectly in my shirt pocket.
## 209 I need a recorder to record my singing lessons. The recorder is easy to use and the play backs are clear and precise.
## 210 I have not tested the product yet. Just received the package but it looks nice. Will test the quality and do another review later
## 211 This little recorder is awesome for a college student trying to get their talk recorded
## 212 Solid built - perfect size - can go wrong for the money
## 213 This is a great little recorder. It is easy to use with good sound quality. It is the perfect size and weight.
## 214 This feels sturdy and small! I think it will work wonderful for school! I will update the post if I find issues, but otherwise ready, set, and go!
## 215 great product, great quality, feels good, sounds good
## 216 I ordered this to record my meetings.. the sound quality is great
## 217 The media could not be loaded.\n \n \n \n \n \n \n \n Super easy to use, light weight, and it came quickly! This little recorder is just what I was looking for!
## 218 This is a simple easy to use recorder, and easy to upload it onto a PC.
## 219 This recorder is easy to use and works well.
## 220 Great Product!
## 221 Amazing quality and easy to use!
## 222 It’s is easily portable you can even hide it. The size make it very suitable for use
## 223 This product was really easy to use. This was compatible with multiple devises and great quality.
## 224 Great purchase
## 225 This product is very compact and durable
## 226 Small, easy to use. Perfect for recording the minutes of a meeting, picks up conversation around a table clearly.
## 227 It’s easy to charge, easy to play music, plugs into a computer, and comes with 32 gb card.
## 228 It has a nice weight to it and appears well-made. The sound quality is also really good.
## 229 Have only played around with it so far. I think it will be perfect. Small enough to conceal in your pocket.
## 230 First one I've ever used, so im not sure this is a good review. There is a small delay (5-7 sec) from when you press record till it starts recording. I got it for a conference in a month so we will see how it does.
## 231 My dad is able to use this device easily, not too complicated. fit in pocket
## 232 i absolutely loved everything about this recorder
## 233 great product
## 234 it's working really well! using it to record interviews for research
## 235 Small and works great. Worth the price
## 236 I’m very happy with the purchase! The digital voice recorder has great sound quality and is easy to use!
## 237 Sound quality exceptional , easy to use , and great value for money
## 238 Size is perfect can put in a picket or carry in a handbag. Light weight and easy to use following the instructions. The sound is clear .
## 239 Good value. Easy to use.
## 240 Quality is great!
## 241 This recorder is really small, which will work great for me. It seems to be of good quality and it is easy to use. This is exactly what I wanted.
## 242 I am currently in school and training for a new job, this thing has been an absolute life-saver!
## 243 I used this for research purposes and it’s perfect. The recording is extremely clear and easy to use.
## 244 Works exactly as described. Very useful. Very small so it fits in your hand or shirt pocket. Clear playback. Good weight so you don't feel like it's going to break. Overall, very good quality for such a good price
## 245 Very durable, has some weight to it, works great!!! Easy to use. Highly recommended… love it!
## 246 I'm an a\\v enthusiast and this product is bang for Buck!!
## 247 The recorder was easy to use. As the direction state, minimizing background noise is helpful because the mics are very sensitive. Happy with the purchase.
## 248 Excellent Recorder
## 249 As expected. No issues at this time. Sounds good in playback. Worked great out of the box
## 250 I am definitely going to recommend this product to my friends
## 251 Compact and light, so easy to use. Came in very handy for an instruction course that I could play back for learning.
## 252 Works well for basic recording needs. Recommend
## 253 Love this recorder, durable material, solid, great sound, works amazing
## 254 Sound quality is good. Enjoyed my product. No complaints.
## 255 This is a cute little recorder and easy to use, the problem is, the background noise is louder than the voice. Until I play the recording, I don't hear the pages of a book yet, with playback, it gets louder than the voice. I suppose this comes with recording but, it's irritating!
## 256 It's okay, not great not awful, just eh
## 257 Clear sound and record for hours and playback
## 258 Excellent sound during playback.
## 259
## 260 Works great and small for easy travel
## 261 I really like the quality of the recordings. I thought the size was a nice tiny size smaller than it was in the pictures and the quality of the recordings was great
## 262 The recorder has an excellent mike as well as its secure encasing. The body is sturdy and seems unbreakable, and yet lightweight (80g). However, this wasn’t enough for me. It’s difficult to use it, no way around it.First, to navigate from one feature to another you must literally jump navigation hoops. Also, Home screen is that of the MUSIC function. Why? Do we buy it for the sake of playing songs? The voice files are recorded under long numeric file names, and how one would navigate the “library” is beyond me. It turns on quickly, but the warm up time for recording is 10 sec. Is it too fast for you?And lastly, it’s cumbersome to operate with one hand. I had to use both hands.
## 263 Great quality easy to use
## 264 This is very user friendly and it has great speakers. Definitely worth the price.
## 265 Very easy to use, very sleek looking and small enough to fit in any pocket and take anywhere with you. Nice sound and battery life as well.
## 266 Fácil de manejar. Muy discreta
## 267 It came quickly in the mail and works beautifully
## 268 Arrived quicly and packaged nicely. Works great !!
## 269 I use this recorder to save stories told by my best friend about her wonderful life. This recorder is just what I wanted.
## 270 It's mini so it's perfect!! it does exactly what I need! It's Awesome!
## 271 Loved the size and ease of use.
## 272 Fast shipping Great value for price
## 273 The size is great and build is solid.
## 274 It works really well
## 275 East to use and I would recommend the product
## 276 Very sturdy and easy to use.
## 277 VERY GOOD
## 278
## 279 Absolutely amazing
## 280 nice recorder, love the size and quality
## 281 Such good audio
## 282 Compact, easy
## 283 I didn't expect that the size will be this perfect, it's very easy to use and comes with the usb cord.
## 284 smaller than pictured. Easy to use no batteries needed.
## 285 I am excited to use this for class and I love how small it is. I think this is a great study tool.
## 286
## 287 The media could not be loaded.
## 288 Wonderful!
## 289 The media could not be loaded.\n \n \n \n \n \n \n \n I love how easy it was to use and the sound was great.
## 290 Ease of use
## 291 The media could not be loaded.\n \n \n \n \n \n \n \n Great value. Sounds quality is great. Did not have to use mic.
## 292 I like this product great quality
## 293 I love the design, makes it easy to use.
## 294 works wonders
## 295 Perfect for recording meetings so that I can prepare the minutes.
## 296 I ordered this unit to reinforce my note taking but my unit's screen remains blank until I push the reset with a paper clip. Then it appears fine until it falls asleep at which point the reset must be pushed again. Is this a software issue that I can update online? Otherwise, I'll want to return, and I hate to do that.
## 297 The media could not be loaded.\n \n \n \n \n \n \n \n Small but easy to use
## 298 Compact, hefty for its size and simple to operate.
## 299 I'M REALLY HAPPY WITH THE QUALITY, PRICE, AND SIZE OF THIS RECORDER. 10/10.
## 300 convenient size
## 301 Bought this recorder to help my brother with his nite terrors.
## 302 The setup of this unit makes it near impossible to stop it from repeating recordings in playback mode, regardless of what you choose in settings. For the record, i a fairly capable gadget guy. Maybe it was just my unit, but it was extremely frustrating having the playback repeat no matter how often I changed the setting. Returned after two days. Will say that it did feel sturdy and well made.
## 303 Took me a few days to figure out how it operates, and the buttons are confusing. The instruction manual has significant typos, such as ‘do put it in water’! After I deleted my recordings to start over, the ‘record deleted’ screen is stuck. I can’t even turn off the device. I guess the screen stayed on until it ran out of battery. Returning it.
## 304 Is it my reading skills, or are the written instructions poorly written.I have to use trial-and-error rather than scouring the instruction booklet for matters as simple as the location of the STOP.
## 305 This might be a decent product if you spent hours to decipher the garbled "instructions". The English is awful and they don't make any sense. Not worth the effort.
## 306 The sound quality is excellent but the instructions are confusing and make usingit very difficult.
## 307 Directions are horrible
## 308 it doesn't work. menu does not come up after the first day. when it did come up it would not delete all recordings. no voice activated recording. all it does is record and play back.
## 309 I have had this about 6 weeks , used it a few times , and already it does not turn on. I have a new paperweight.
## 310 Would not recommend this. Instructions are poor and functionality is very limited,
## 311 Does not work.
## 312 Horrible to use, least intuitive device ever. Unusable when driving.
## 313 Muy malo
## 314 Is not working properly now
## 315 I bought this as a gift for another person. I have not tried using it myself. They tell me that the instructions that came with the recorder are not in English. So they are pretty much left to figure it out themselves through "trial and error". They say everything else about it is good. The big issue for them is their primary (and only) language is English.
## 316 Purchased this for a class and is helping to keep records.
## 317 I love how small and sleek it is. You’re able to place it anywhere. The sound quality is great! It didn’t sound choppy or faded.
## 318 I’m impressed with the device. Good quality, sound is very clear. Love how you can buy memory cards for it and keep files.
## 319 Easy to use, great quality!
## 320 Bought this for my first year at college and so far i have had no problems at all
## 321 Great sound quality long battery life. Easy to record and playback.
## 322 Works great good quality
## 323 Really like the easy to use buttons on this recorder--reminds me of an old model tape recorder, which is what I was looking for for my husband.
## 324 Lots of storage and physical buttons
## 325 Love the quality. Easy set up with options
## 326 Very easy to use and a good size and weight for your hand.
## 327 Great product! Small and easy to use.
## 328 I'm very happy with my new recorder. It's very easy to use. Recording is simple and so is deleting the recording. It has a lot of space and can be transferred to a computer very easily with the USB connection included. I also love that it has AVR mode.
## 329 those product is everything I've been looking for.The quality on it is 100%, also volume gets really loud which is awesome.!!
## 330 The sound is clear and this recorder is so easy to use. The size is perfect. Definitely recommending
## 331 Heavy and durable. Fairly easy to figure out. Great microphone that picks up soft voices well.
## 332 I received this as a gift and was blown away by it. EVPS have never sounded better and the compact design makes it easy to set up for remote sessions!
## 333 Items was shipped on time, all items were in packages, instructions were easy to read and straightforward, sound quality is perfect for my elderly customer. Great product Great seller.
## 334 Great Recorder, probably one of the simplest I ever used. My favorite part is the sound quality, as the background noise is minimal ( the recorder automatically applies this feature). Highly Recommend!
## 335 I like how it’s easy to use and compact! I use it for practicing my acting lines.
## 336 As a podcaster, this recorder is easy to use and very reliable. Sound quality is awesome. Recording files are easy to create, save and upload to another device. Having gone through a number of voice recorders, nice to have one that isn't a nightmare to operate, but works simply and well.
## 337 My husband bought this DVR for me so I can sample sounds for my music. I love that this is so little I can carry it around easily and even fit it in my pocket. It comes with its own USB charging cable and even a 64g micro sd card. It has dual microphones and records sound crystal clear. This is much better than the previous recorder I had. I would definitely recommend!
## 338 Charged up the unit and it worked fine. Plugged it into the computer and it saw it as a hard drive. Easy to move music down, or items up.
## 339 to practice my languages
## 340 Arrived quickly and very compact but not light for the size. I have not read the instructions yet and so far I am having no problem using the recorder. Looking at the symbols alone in the recorder I was able to use it. The sound quality is also good. Maybe I will need to read the manual once I download the records to my laptop.
## 341 This recorder is perfect for what I needed
## 342 I was surprised with the build quality for the price, dosent feel like cheap plastic, body is made of metal and it has USB C! Great product for the value
## 343 I used this item to record a business meeting with in person partners as well as zoomed partners. It picked up all the sound from whomever was conversating.
## 344 I liked everything about the recorder excluding no ear buds with device.
## 345 Great value in a moderately priced digital recorder. Much better recording quality than expected, very pleased with the purchase. Well, just as I figured even though I am told that I would get a $30 Amazon gift card their web site diddled with me until I had to try a 3rd time to complete the registration and earn the rebate, so because of 3 tries I get $0, thank you.
## 346 It's pretty simple to operate and record. I needed something uncomplicated and I'm satisfied. Would definitely recommend.
## 347 using this for my board meeting to take minutes.
## 348 recorder is small and compact. Very easy to use and intuitive. It is easy to charge and battery last a long time. Compact - fits in the palm of your hand. All the buttons are right on the front and it has a easy to view display. Very nice for first time users.
## 349 The product arrived in very good condition, The issue I have is the instructions do not totally match the names shown on the buttons. For example: when putting in the day/time , it says to use the + vol/volume to change the fields. I found after searching and trying the buttons, it was actally the volume lock button that needed to be pushed in to move to the next field hours>minutes. And the use of the word "Stop" is not shown on the buttons as well. Deleting a recording takes pushing the Menu button 2 times for the delete option to appear. The sound quality is very good while recording.
## 350 great mic's and size
## 351 I bought this to have an independent audio recording device for my film projects that would accurately record all the sounds of the room it was in. I was very happy with this purchase and it gave me all the quality and ease of use that I desired. Thanks guys!
## 352 Loved the size and quality. Great sound, easy operation. Best value for the money.
## 353 Does everything that I anticipated. Would recommend highly.
## 354 Very compact! Lots of features in a small package!
## 355 Didn't read the instructions and have been able to use to record meeting minutes. Easy.
## 356 Very good so far, easy to use. It records and sounds perfectly.
## 357 Like
## 358 I was surprised at how small this recorder was. Amazingly it did its job. I had issues using the recorder. It came charged the second time. The first one sent to me was used and was missing the charging cord. I would recommend this little electronic.
## 359 Love how small it is
## 360 Perfect. Extremely compact but audio quality is amazing. Way better than my smartphone for ASMR audio.
## 361 The recorder is good, but the instructions are ridiculous. They were written by a non-English speaking person. So the learning curve is very steep.
## 362 Nice product came with usb cord and easy instructions. Very fast delivery!
## 363 Useful!
## 364 Bought for a class lecture. Does great. Very small and easy to use.
## 365 Solid machine. Works very well. Pretty happy with it.
## 366 I am using this for voice training, and I like that this is a dedicated tool. I love the little microphones near the top of the device, gives it a professional look, and the device has a nice heaviness to it. The functionality is also very easy to navigate. The buttons are very clicky, so I hope they hold up over time.
## 367 I found this device to be very unreliable. It did work on an occasion or two, but then would not work the next time I tried it. I simply got a lemon. Returned the device.
## 368 The instructions could be more user friendly. I have to use the device for work.
## 369 We wanted an easy-to-use voice recorder. It took me a few minutes to understand the basics, but the manual is very easy to read. It is easy to pause and continue recording, easy to save, and then able to play back the recording then and there. I was also able to exit and look at other settings while the recording was playing, which was a huge plus. Sometimes I like having the background noise show up in the audio, and other times I don't, so having the option to change this was also great!
## 370 Great item# intercepting the JSON
url <- "https://sinclairresources.s3.amazonaws.com/assets/sbgi/MetaverseStationData.json?1663533398739"
sinclair <- fromJSON(url)
sinclair## Call_Letter Logo_List
## 1 KAAS
## 2 KAAS-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 3 KAAS-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 4 KAAS-LD
## 5 KAAS-LD-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 6 KAAS-LD-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 7 KABB kabb_fox.jpg
## 8 KABB-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 9 KABB-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 10 KAEF /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 11 KAEF-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 12 KAEF-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 13 KATU katu_abc.jpg
## 14 KATU-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 15 KATU-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 16 KATU-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 17 KATV katv_abc.jpg
## 18 KATV-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 19 KATV-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 20 KATV-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 21 KBAK kbak_fox.jpg
## 22 KBAK-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 23 KBAK-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 24 KBAK-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 25 KBFX /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 26 KBFX-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 27 KBFX-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 28 KBFX-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 29 KBOI /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 30 KBOI-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 31 KBOI-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 32 KBTV /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 33 KBTV-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 34 KBTV-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 35 KBTV-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 36 KBTV-5 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 37 KBVK-LP /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 38 KBVK-LP-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 39 KBVK-LP-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 40 KBVK-LP-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 41 KBVU /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 42 KBVU-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 43 KBVU-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 44 KBVU-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 45 KCBY /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 46 KCBY-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 47 KCBY-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 48 KCFW /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 49 KCFW-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 50 KCFW-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 51 KCVU /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 52 KCVU-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 53 KCVU-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 54 KCVU-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 55 KCVU-5 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 56 KDBC /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 57 KDBC-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 58 KDBC-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 59 KDBZ-CD /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 60 KDBZ-CD-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 61 KDBZ-CD-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 62 KDNL /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 63 KDNL-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 64 KDNL-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 65 KDNL-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 66 KDSM /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 67 KDSM-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 68 KDSM-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 69 KDSM-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 70 KECA-LD /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 71 KECA-LD-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 72 KECI /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 73 KECI-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 74 KECI-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 75 KENV /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 76 KEPR /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 77 KEPR-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 78 KEPR-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 79 KEUV-LP /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 80 KEYE /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 81 KEYE-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 82 KFDM /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 83 KFDM-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 84 KFDM-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 85 KFOX /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 86 KFOX-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 87 KFOX-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 88 KFOX-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 89 KFRE /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 90 KFRE-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 91 KFRE-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 92 KFRE-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 93 KFXA /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 94 KFXA-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 95 KFXA-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 96 KFXA-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 97 KFXL /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 98 KGAN /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 99 KGAN-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 100 KGAN-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 101 KGAN-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 102 KGBT-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 103 KGBT-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 104 KGBT-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 105 KHGI /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 106 KHGI-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 107 KHGI-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 108 KHGI-CD /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 109 KHGI-LD /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 110 KHGI-LD-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 111 KHGI-LD-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 112 KHGI-LD-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 113 KHQA /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 114 KHQA-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 115 KHQA-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 116 KIMA /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 117 KIMA-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 118 KIMA-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 119 KJZZ /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 120 KJZZ-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 121 KJZZ-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 122 KJZZ-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 123 KKTF-LD /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 124 KKTF-LD-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 125 KLEW /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 126 KLEW-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 127 KLEW-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 128 KMCB /resources/assets/sbgi/Logo_List-DEFAULT.jpg
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## 130 KMCB-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
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## 171 KORX-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 172 KORX-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 173 KPIC /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 174 KPIC-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 175 KPIC-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 176 KPTH /resources/assets/sbgi/Logo_List-DEFAULT.jpg
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## 185 KPTP-LD-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 186 KPTP-LD-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 187 KRCG /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 188 KRCG-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
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## 191 KRCR /resources/assets/sbgi/Logo_List-DEFAULT.jpg
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## 193 KRCR-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
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## 195 KRNV /resources/assets/sbgi/Logo_List-DEFAULT.jpg
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## 198 KRVU-LD /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 199 KRVU-LD-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 200 KRVU-LD-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 201 KRXI /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 202 KRXI-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 203 KRXI-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 204 KSAS /resources/assets/sbgi/Logo_List-DEFAULT.jpg
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## 210 KSCC /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 211 KSCC-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 212 KSCC-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 213 KSNV /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 214 KSNV-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 215 KSNV-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 216 KSNV-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 217 KTCW /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 218 KTCW-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 219 KTCW-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 220 KTES-LD /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 221 KTOV /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 222 KTUL /resources/assets/sbgi/Logo_List-DEFAULT.jpg
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## 224 KTUL-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 225 KTUL-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 226 KTVL /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 227 KTVL-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 228 KTVL-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 229 KTVL-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 230 KTVM /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 231 KTVM-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 232 KTVM-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 233 KTVO /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 234 KTVO-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 235 KTVO-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 236 KTXE-LD /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 237 KTXE-LD-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 238 KTXE-LD-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 239 KTXS /resources/assets/sbgi/Logo_List-DEFAULT.jpg
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## 241 KTXS-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 242 KUCO-LP /resources/assets/sbgi/Logo_List-DEFAULT.jpg
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## 244 KUNP-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 245 KUNP-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
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## 247 KUNP-LD-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 248 KUNP-LD-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 249 KUNS /resources/assets/sbgi/Logo_List-DEFAULT.jpg
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## 252 KUNW /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 253 KUNW-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 254 KUNW-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 255 KUNW-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 256 KUTV /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 257 KUTV-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 258 KVAL /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 259 KVAL-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 260 KVAL-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 261 KVCW /resources/assets/sbgi/Logo_List-DEFAULT.jpg
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## 263 KVCW-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 264 KVCW-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
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## 266 KVIH /resources/assets/sbgi/Logo_List-DEFAULT.jpg
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## 274 KVVK /resources/assets/sbgi/Logo_List-DEFAULT.jpg
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## 276 KVVK-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
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## 278 KWNB /resources/assets/sbgi/Logo_List-DEFAULT.jpg
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## 290 KYUU-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
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## 292 WABM /resources/assets/sbgi/Logo_List-DEFAULT.jpg
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## 294 WABM-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 295 WABM-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 296 WACH /resources/assets/sbgi/Logo_List-DEFAULT.jpg
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## 298 WACH-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
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## 308 WBSF /resources/assets/sbgi/Logo_List-DEFAULT.jpg
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## 311 WBUI /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 312 WBUI-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 313 WBUI-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
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## 316 WCCU-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
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## 324 WCIV-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 325 WCTI /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 326 WCTI-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 327 WCTI-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
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## 338 WCYB /resources/assets/sbgi/Logo_List-DEFAULT.jpg
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## 351 WEYI /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 352 WEYI-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 353 WEYI-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 354 WEYI-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 355 WFGX /resources/assets/sbgi/Logo_List-DEFAULT.jpg
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## 358 WFLI /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 359 WFLI-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 360 WFLI-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
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## 375 WGTU /resources/assets/sbgi/Logo_List-DEFAULT.jpg
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## 377 WGXA /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 378 WGXA-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 379 WGXA-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 380 WHAM /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 381 WHAM-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 382 WHAM-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 383 WHOI /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 384 WHP /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 385 WHP-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 386 WHP-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 387 WHP-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 388 WICD /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 389 WICD-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 390 WICD-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
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## 392 WICS /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 393 WICS-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 394 WICS-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
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## 396 WJAC /resources/assets/sbgi/Logo_List-DEFAULT.jpg
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## 398 WJAC-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 399 WJAC-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 400 WJAR /resources/assets/sbgi/Logo_List-DEFAULT.jpg
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## 403 WJAR-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 404 WJLA /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 405 WJLA-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 406 WJLA-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 407 WJLA-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 408 WJTC /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 409 WJTC-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 410 WJTC-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 411 WKEF /resources/assets/sbgi/Logo_List-DEFAULT.jpg
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## 413 WKEF-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 414 WKEF-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 415 WKRC /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 416 WKRC-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 417 WKRC-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 418 WLFL /resources/assets/sbgi/Logo_List-DEFAULT.jpg
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## 421 WLFL-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 422 WLOS /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 423 WLOS-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 424 WLOS-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 425 WLOS-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 426 WLUK /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 427 WLUK-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 428 WLUK-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 429 WMSN /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 430 WMSN-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 431 WMSN-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 432 WMSN-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 433 WMYA /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 434 WMYA-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 435 WMYA-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 436 WMYA-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 437 WMYA-5 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 438 WMYV /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 439 WMYV-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 440 WMYV-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 441 WNAB /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 442 WNAB-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 443 WNAB-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 444 WNAB-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 445 WNBW /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 446 WNBW-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 447 WNBW-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 448 WNBW-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 449 WNUV /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 450 WNUV-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 451 WNUV-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 452 WNUV-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 453 WNWO /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 454 WNWO-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 455 WNWO-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 456 WNWO-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 457 WNYO /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 458 WNYO-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 459 WNYO-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 460 WNYO-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 461 WOAI /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 462 WOAI-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 463 WOAI-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 464 WOLF /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 465 WOLF-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 466 WOLF-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 467 WPBN /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 468 WPBN-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 469 WPBN-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 470 WPDE /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 471 WPDE-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 472 WPDE-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 473 WPDE-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 474 WPDE-5 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 475 WPEC /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 476 WPEC-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 477 WPEC-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 478 WPFO /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 479 WPFO-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 480 WPFO-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 481 WPFO-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 482 WPGH /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 483 WPGH-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 484 WPGH-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 485 WPMI /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 486 WPMI-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 487 WPMI-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 488 WPNT /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 489 WPNT-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 490 WPNT-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 491 WPNT-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 492 WQMY /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 493 WQMY-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 494 WQMY-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 495 WRDC /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 496 WRDC-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 497 WRDC-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 498 WRGB /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 499 WRGB-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 500 WRGB-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 501 WRGT /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 502 WRGT-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 503 WRGT-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 504 WRGT-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 505 WRLH /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 506 WRLH-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 507 WRLH-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 508 WRLH-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 509 WRLH-5 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 510 WRSP /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 511 WRSP-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 512 WRSP-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 513 WSBT /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 514 WSBT-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 515 WSET /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 516 WSET-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 517 WSET-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 518 WSET-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 519 WSMH /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 520 WSMH-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 521 WSMH-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 522 WSMH-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 523 WSTM /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 524 WSTM-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 525 WSTM-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 526 WSTQ /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 527 WSTR /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 528 WSTR-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 529 WSTR-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 530 WSTR-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 531 WSWB /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 532 WSWB-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 533 WSWB-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 534 WSWB-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 535 WSYX /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 536 WSYX-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 537 WSYX-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 538 WTCN /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 539 WTCN-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 540 WTCN-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 541 WTCN-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 542 WTGS /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 543 WTGS-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 544 WTGS-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 545 WTGS-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 546 WTLF /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 547 WTLF-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 548 WTLF-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 549 WTLF-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 550 WTLF-5 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 551 WTOM /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 552 WTOM-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 553 WTOM-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 554 WTOV /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 555 WTOV-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 556 WTOV-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 557 WTTE /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 558 WTTE-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 559 WTTE-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 560 WTTO /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 561 WTTO-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 562 WTTO-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 563 WTTO-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 564 WTVC /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 565 WTVC-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 566 WTVC-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 567 WTVH /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 568 WTVH-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 569 WTVH-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 570 WTVX /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 571 WTVX-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 572 WTVX-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 573 WTVZ /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 574 WTVZ-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 575 WTVZ-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 576 WTVZ-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 577 WTWC /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 578 WTWC-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 579 WTWC-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 580 WUCW /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 581 WUCW-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 582 WUCW-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 583 WUCW-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 584 WUHF /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 585 WUHF-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 586 WUHF-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 587 WUHF-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 588 WUTB /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 589 WUTB-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 590 WUTB-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 591 WUTB-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 592 WUTV /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 593 WUTV-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 594 WUTV-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 595 WUXP /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 596 WUXP-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 597 WUXP-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 598 WVAH /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 599 WVAH-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 600 WVAH-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 601 WVTV /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 602 WVTV-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 603 WVTV-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 604 WWHB /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 605 WWHB-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 606 WWHB-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 607 WWHO /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 608 WWHO-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 609 WWHO-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 610 WWMB /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 611 WWMB-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 612 WWMB-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 613 WWMB-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 614 WWMT /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 615 WWMT-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 616 WWMT-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 617 WXLV /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 618 WXLV-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 619 WXLV-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 620 WXLV-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 621 WYDO /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 622 WYDO-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 623 WYDO-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 624 WYDO-4 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 625 WYME-CD-1 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 626 WZTV /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 627 WZTV-2 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## 628 WZTV-3 /resources/assets/sbgi/Logo_List-DEFAULT.jpg
## Logo_Map
## 1
## 2 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 3 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 4
## 5 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 6 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 7 kabb_fox_map.jpg
## 8 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 9 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 10 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 11 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 12 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 13 katu_abc_map.jpg
## 14 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 15 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 16 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 17 katv_abc_map.jpg
## 18 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 19 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 20 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 21 kbak_fox_map.jpg
## 22 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 23 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 24 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 25 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 26 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 27 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 28 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 29 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 30 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 31 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 32 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 33 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 34 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 35 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 36 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 37 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 38 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 39 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 40 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 41 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 42 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 43 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 44 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 45 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 46 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 47 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 48 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 49 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 50 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 51 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 52 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 53 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 54 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 55 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 56 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 57 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 58 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 59 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 60 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 61 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 62 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 63 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 64 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 65 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 66 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 67 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 68 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 69 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 70 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 71 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 72 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 73 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 74 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 75 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 76 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 77 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 78 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 79 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 80 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 81 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 82 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 83 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 84 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 85 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 86 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 87 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 88 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 89 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 90 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 91 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 92 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 93 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 94 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 95 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 96 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 97 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 98 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 99 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 100 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 101 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 102 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 103 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 104 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 105 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 106 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 107 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 108 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 109 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 110 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 111 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 112 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 113 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 114 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 115 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 116 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 117 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 118 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 119 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 120 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 121 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 122 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 123 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 124 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 125 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 126 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 127 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 128 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 129 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 130 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 131 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 132 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 133 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 134 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 135 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 136 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 137 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 138 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 139 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 140 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 141 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 142 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 143 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 144 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 145 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 146 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 147 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 148 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 149 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 150 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 151 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 152 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 153 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 154 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 155 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 156 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 157 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 158 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 159 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 160 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 161 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 162 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 163 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 164 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 165 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 166 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 167 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 168 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 169 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 170 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 171 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 172 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 173 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 174 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 175 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 176 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 177 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 178 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 179 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 180 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 181 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 182 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 183 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 184 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 185 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 186 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 187 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 188 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 189 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 190 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 191 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 192 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 193 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 194 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 195 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 196 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 197 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 198 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 199 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 200 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 201 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 202 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 203 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 204 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 205 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 206 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 207 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 208 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 209 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
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## 616 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 617 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 618 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 619 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 620 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 621 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 622 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 623 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 624 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 625 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 626 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 627 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## 628 /resources/assets/sbgi/Logo_Map-DEFAULT.jpg
## Web_1st_URL
## 1 http://www.foxkansas.com
## 2 http://sbgi.net
## 3 http://www.comettv.com/
## 4 http://www.foxkansas.com
## 5 http://sbgi.net
## 6 http://www.comettv.com/
## 7 http://www.foxsanantonio.com/
## 8 http://www.comettv.com/
## 9 http://sbgi.net
## 10 http://sbgi.net
## 11 http://sbgi.net
## 12 http://sbgi.net
## 13 http://www.katu.com/
## 14 http://sbgi.net
## 15 http://www.comettv.com/
## 16 http://sbgi.net
## 17 http://www.katv.com
## 18 http://www.comettv.com/
## 19 http://sbgi.net
## 20 http://sbgi.net
## 21 http://bakersfieldnow.com/
## 22 http://sbgi.net
## 23 http://sbgi.net
## 24 http://sbgi.net
## 25 http://www.bakersfieldnow.com/fox58/schedule
## 26 http://sbgi.net
## 27 http://www.comettv.com/
## 28 http://sbgi.net
## 29 https://idahonews.com/
## 30 http://sbgi.net
## 31 http://sbgi.net
## 32 http://fox4beaumont.com/
## 33 http://sbgi.net
## 34 http://www.comettv.com/
## 35 http://sbgi.net
## 36 http://sbgi.net
## 37 http://www.siouxlandnews.com/
## 38 http://sbgi.net
## 39 http://sbgi.net
## 40 http://sbgi.net
## 41 http://sbgi.net
## 42 http://www.comettv.com/
## 43 http://sbgi.net
## 44 http://sbgi.net
## 45 http://www.kcby.com
## 46 http://sbgi.net
## 47 http://sbgi.net
## 48 http://sbgi.net
## 49 http://sbgi.net
## 50 http://sbgi.net
## 51 http://sbgi.net
## 52 http://www.comettv.com/
## 53 http://sbgi.net
## 54 http://sbgi.net
## 55 http://sbgi.net
## 56 http://www.cbs4local.com/
## 57 http://sbgi.net
## 58 http://sbgi.net
## 59 http://sbgi.net
## 60 http://sbgi.net
## 61 http://sbgi.net
## 62 http://www.abcstlouis.com
## 63 http://sbgi.net
## 64 http://sbgi.net
## 65 http://sbgi.net
## 66 http://www.kdsm.com
## 67 http://www.comettv.com/
## 68 http://sbgi.net
## 69 http://sbgi.net
## 70 http://sbgi.net
## 71 http://sbgi.net
## 72 http://sbgi.net
## 73 http://sbgi.net
## 74 http://sbgi.net
## 75 http://www.comettv.com/
## 76 http://www.keprtv.com
## 77 http://sbgi.net
## 78 http://sbgi.net
## 79 http://sbgi.net
## 80 http://www.cbsaustin.com
## 81 http://telemundoaustin.com
## 82 http://www.kfdm.com
## 83 http://sbgi.net
## 84 http://sbgi.net
## 85 http://www.kfoxtv.com
## 86 http://www.comettv.com/
## 87 http://sbgi.net
## 88 http://sbgi.net
## 89 http://www.kmph.com/
## 90 http://sbgi.net
## 91 http://sbgi.net
## 92 http://sbgi.net
## 93 http://fox28iowa.com
## 94 http://sbgi.net
## 95 http://sbgi.net
## 96 http://sbgi.net
## 97 http://www.foxnebraska.com/
## 98 http://www.cbs2iowa.com
## 99 http://sbgi.net
## 100 http://www.comettv.com/
## 101 http://sbgi.net
## 102 http://sbgi.net
## 103 http://www.comettv.com/
## 104 http://sbgi.net
## 105 http://www.nebraska.tv/
## 106 http://sbgi.net
## 107 http://sbgi.net
## 108 http://sbgi.net
## 109 http://sbgi.net
## 110 http://sbgi.net
## 111 http://sbgi.net
## 112 http://sbgi.net
## 113 http://khqa.com/
## 114 http://sbgi.net
## 115 http://www.comettv.com/
## 116 http://www.kimatv.com
## 117 http://sbgi.net
## 118 http://sbgi.net
## 119 http://sbgi.net
## 120 http://www.comettv.com/
## 121 http://sbgi.net
## 122 http://sbgi.net
## 123 http://sbgi.net
## 124 http://sbgi.net
## 125 http://www.klewtv.com
## 126 http://sbgi.net
## 127 http://www.comettv.com/
## 128 http://www.sbgi.net
## 129 http://sbgi.net
## 130 http://www.comettv.com/
## 131 http://www.siouxlandnews.com/
## 132 http://sbgi.net
## 133 http://www.comettv.com/
## 134 http://www.kmph.com/
## 135 http://sbgi.net
## 136 http://www.comettv.com/
## 137 http://sbgi.net
## 138 http://www.kmph.com
## 139 http://sbgi.net
## 140 http://www.comettv.com/
## 141 http://sbgi.net
## 142 https://nbc16.com/
## 143 http://sbgi.net
## 144 http://www.comettv.com/
## 145 http://mytvwichita.com
## 146 http://sbgi.net
## 147 http://sbgi.net
## 148 http://sbgi.net
## 149 http://www.kmys.tv
## 150 http://sbgi.net
## 151 http://sbgi.net
## 152 http://www.kmyu.tv
## 153 http://sbgi.net
## 154 http://nevadasportsnet.com/
## 155 http://sbgi.net
## 156 http://www.comettv.com/
## 157 http://www.cwokc.com
## 158 http://sbgi.net
## 159 http://www.comettv.com/
## 160 http://www.foxkansas.com
## 161 http://sbgi.net
## 162 http://www.comettv.com/
## 163 http://www.okcfox.com
## 164 http://sbgi.net
## 165 http://sbgi.net
## 166 http://www.komonews.com
## 167 http://www.comettv.com/
## 168 http://sbgi.net
## 169 http://www.kunwtv.com
## 170 http://www.comettv.com/
## 171 http://sbgi.net
## 172 http://sbgi.net
## 173 http://www.kpic.com
## 174 http://sbgi.net
## 175 http://sbgi.net
## 176 http://www.siouxlandnews.com
## 177 http://sbgi.net
## 178 http://sbgi.net
## 179 http://sbgi.net
## 180 http://www.kptm.com
## 181 http://sbgi.net
## 182 http://www.comettv.com/
## 183 http://www.siouxlandnews.com
## 184 http://sbgi.net
## 185 http://sbgi.net
## 186 http://sbgi.net
## 187 http://krcgtv.com/
## 188 http://www.comettv.com/
## 189 http://sbgi.net
## 190 http://sbgi.net
## 191 https://krcrtv.com/
## 192 http://sbgi.net
## 193 http://sbgi.net
## 194 http://sbgi.net
## 195 http://www.mynews4.com
## 196 http://sbgi.net
## 197 http://sbgi.net
## 198 http://sbgi.net
## 199 http://www.comettv.com/
## 200 http://sbgi.net
## 201 http://www.foxreno.com
## 202 http://sbgi.net
## 203 http://sbgi.net
## 204 http://www.foxkansas.com
## 205 http://sbgi.net
## 206 http://www.comettv.com/
## 207 http://www.foxkansas.com
## 208 http://sbgi.net
## 209 http://www.comettv.com/
## 210 http://fox38corpuschristi.com/
## 211 http://sbgi.net
## 212 http://sbgi.net
## 213 http://www.mynews3.com
## 214 http://sbgi.net
## 215 http://sbgi.net
## 216 http://sbgi.net
## 217 http://www.sbgi.net
## 218 http://sbgi.net
## 219 http://www.comettv.com/
## 220 http://sbgi.net
## 221 http://www.sbgi.net
## 222 http://www.ktul.com
## 223 http://www.comettv.com/
## 224 http://sbgi.net
## 225 http://sbgi.net
## 226 http://www.ktvl.com
## 227 http://www.southernoregoncw.com
## 228 http://www.comettv.com/
## 229 http://sbgi.net
## 230 http://sbgi.net
## 231 http://sbgi.net
## 232 http://sbgi.net
## 233 http://ktvo.com/
## 234 http://sbgi.net
## 235 http://www.comettv.com/
## 236 http://sbgi.net
## 237 http://sbgi.net
## 238 http://sbgi.net
## 239 https://ktxs.com/
## 240 http://sbgi.net
## 241 http://sbgi.net
## 242 http://sbgi.net
## 243 http://www.kunptv.com
## 244 http://sbgi.net
## 245 http://sbgi.net
## 246 http://www.kunptv.com
## 247 http://sbgi.net
## 248 http://sbgi.net
## 249 http://www.univisionseattle.com
## 250 http://sbgi.net
## 251 http://sbgi.net
## 252 http://www.kunwtv.com
## 253 http://www.comettv.com/
## 254 http://sbgi.net
## 255 http://sbgi.net
## 256 http://kutv.com
## 257 http://sbgi.net
## 258 http://www.kval.com
## 259 http://sbgi.net
## 260 http://sbgi.net
## 261 http://www.thecwlasvegas.tv
## 262 http://www.mylvtv.com/
## 263 http://sbgi.net
## 264 http://sbgi.net
## 265 http://sbgi.net
## 266 http://abc7amarillo.com/
## 267 http://sbgi.net
## 268 http://www.comettv.com/
## 269 http://sbgi.net
## 270 http://abc7amarillo.com/
## 271 http://sbgi.net
## 272 http://www.comettv.com/
## 273 http://sbgi.net
## 274 http://www.kunwtv.com
## 275 http://www.comettv.com/
## 276 http://sbgi.net
## 277 http://sbgi.net
## 278 http://sbgi.net
## 279 http://sbgi.net
## 280 http://sbgi.net
## 281 http://sbgi.net
## 282 http://www.sbgi.net
## 283 http://www.cw15kxvo.com
## 284 http://sbgi.net
## 285 http://sbgi.net
## 286 http://sbgi.net
## 287 http://www.cwtreasurevalley.com
## 288 http://sbgi.net
## 289 http://www.comettv.com/
## 290 http://sbgi.net
## 291 http://sbgi.net
## 292 http://www.wabm68.com
## 293 http://sbgi.net
## 294 http://sbgi.net
## 295 http://sbgi.net
## 296 http://www.wach.com
## 297 http://sbgi.net
## 298 http://www.comettv.com/
## 299 http://sbgi.net
## 300 http://www.foxbaltimore.com
## 301 http://sbgi.net
## 302 http://sbgi.net
## 303 http://sbgi.net
## 304 http://www.abc3340.com
## 305 http://sbgi.net
## 306 http://sbgi.net
## 307 http://sbgi.net
## 308 http://www.thecw46.com
## 309 http://sbgi.net
## 310 http://sbgi.net
## 311 http://www.cw23tv.com
## 312 http://sbgi.net
## 313 http://sbgi.net
## 314 http://www.foxillinois.com
## 315 http://sbgi.net
## 316 http://sbgi.net
## 317 http://www.wchstv.com
## 318 http://sbgi.net
## 319 http://sbgi.net
## 320 http://sbgi.net
## 321 http://mytvcharleston.com/
## 322 http://www.abcnews4.com
## 323 http://sbgi.net
## 324 http://sbgi.net
## 325 https://wcti12.com/
## 326 http://www.comettv.com/
## 327 http://sbgi.net
## 328 http://sbgi.net
## 329 http://cw14online.com
## 330 http://www.comettv.com/
## 331 http://sbgi.net
## 332 http://sbgi.net
## 333 http://sbgi.net
## 334 http://www.cwalbany.com
## 335 http://sbgi.net
## 336 http://sbgi.net
## 337 http://sbgi.net
## 338 http://sbgi.net
## 339 http://sbgi.net
## 340 http://www.comettv.com/
## 341 http://www.wtto21.com
## 342 http://sbgi.net
## 343 http://sbgi.net
## 344 http://www.weartv.com
## 345 http://sbgi.net
## 346 http://sbgi.net
## 347 http://sbgi.net
## 348 http://sbgi.net
## 349 http://sbgi.net
## 350 http://sbgi.net
## 351 http://nbc25news.com/
## 352 http://sbgi.net
## 353 http://sbgi.net
## 354 http://sbgi.net
## 355 http://www.wfgxtv.com
## 356 http://sbgi.net
## 357 http://www.comettv.com/
## 358 http://chattanoogacw.com
## 359 http://sbgi.net
## 360 http://sbgi.net
## 361 http://sbgi.net
## 362 http://www.wfxl.com
## 363 http://sbgi.net
## 364 http://www.comettv.com/
## 365 http://sbgi.net
## 366 http://mycbs4.com/
## 367 http://sbgi.net
## 368 http://sbgi.net
## 369 http://www.wgme.com
## 370 http://sbgi.net
## 371 http://sbgi.net
## 372 http://www.upnorthlive.com
## 373 http://sbgi.net
## 374 http://www.comettv.com/
## 375 http://www.upnorthlive.com
## 376 http://sbgi.net
## 377 http://www.wgxa.tv
## 378 http://sbgi.net
## 379 http://www.comettv.com/
## 380 http://www.13wham.com
## 381 http://www.cwrochester.com
## 382 http://sbgi.net
## 383 http://www.comettv.com/
## 384 http://www.local21news.com
## 385 http://sbgi.net
## 386 http://www.cwcentralpa.com
## 387 http://www.comettv.com/
## 388 http://www.wicd15.com
## 389 http://www.comettv.com/
## 390 http://sbgi.net
## 391 http://sbgi.net
## 392 http://www.wics.com
## 393 http://www.comettv.com/
## 394 http://sbgi.net
## 395 http://sbgi.net
## 396 http://www.wjactv.com
## 397 http://sbgi.net
## 398 http://www.comettv.com/
## 399 http://sbgi.net
## 400 http://www.turnto10.com
## 401 http://sbgi.net
## 402 http://www.comettv.com/
## 403 http://sbgi.net
## 404 http://www.wjla.com
## 405 http://sbgi.net
## 406 http://www.comettv.com/
## 407 http://sbgi.net
## 408 http://www.utv44.com
## 409 http://sbgi.net
## 410 http://sbgi.net
## 411 https://dayton247now.com/
## 412 http://sbgi.net
## 413 http://sbgi.net
## 414 http://sbgi.net
## 415 http://www.local12.com
## 416 http://cwcincinnati.com/
## 417 http://sbgi.net
## 418 http://www.raleighcw.com
## 419 http://sbgi.net
## 420 http://sbgi.net
## 421 http://sbgi.net
## 422 http://www.wlos.com
## 423 http://sbgi.net
## 424 http://sbgi.net
## 425 http://sbgi.net
## 426 http://fox11online.com
## 427 http://sbgi.net
## 428 http://sbgi.net
## 429 http://www.fox47.com
## 430 http://www.comettv.com/
## 431 http://sbgi.net
## 432 http://sbgi.net
## 433 http://www.my40.tv
## 434 http://www.comettv.com/
## 435 http://sbgi.net
## 436 http://sbgi.net
## 437 http://sbgi.net
## 438 http://www.my48.tv
## 439 http://sbgi.net
## 440 http://www.comettv.com/
## 441 http://www.cw58.tv
## 442 http://sbgi.net
## 443 http://sbgi.net
## 444 http://sbgi.net
## 445 http://mycbs4.com/
## 446 http://sbgi.net
## 447 http://www.comettv.com/
## 448 http://sbgi.net
## 449 http://www.cwbaltimore.com
## 450 http://sbgi.net
## 451 http://www.comettv.com/
## 452 http://sbgi.net
## 453 http://nbc24.com/
## 454 http://sbgi.net
## 455 http://www.comettv.com/
## 456 http://sbgi.net
## 457 http://www.mytvbuffalo.com
## 458 http://sbgi.net
## 459 http://www.comettv.com/
## 460 http://sbgi.net
## 461 http://www.news4sanantonio.com
## 462 http://sbgi.net
## 463 http://sbgi.net
## 464 http://www.FOX56.com
## 465 http://sbgi.net
## 466 http://sbgi.net
## 467 http://www.upnorthlive.com
## 468 http://sbgi.net
## 469 http://www.comettv.com/
## 470 http://wpde.com/
## 471 http://sbgi.net
## 472 http://www.comettv.com/
## 473 http://sbgi.net
## 474 http://sbgi.net
## 475 http://www.cbs12.com
## 476 http://sbgi.net
## 477 http://www.comettv.com/
## 478 https://fox23maine.com/
## 479 http://sbgi.net
## 480 http://www.comettv.com/
## 481 http://sbgi.net
## 482 http://www.wpgh53.com
## 483 http://sbgi.net
## 484 http://sbgi.net
## 485 https://mynbc15.com/
## 486 http://sbgi.net
## 487 http://sbgi.net
## 488 http://www.22thepoint.com
## 489 http://sbgi.net
## 490 http://www.comettv.com/
## 491 http://sbgi.net
## 492 http://www.FOX56.com
## 493 http://sbgi.net
## 494 http://sbgi.net
## 495 http://www.myrdctv.com
## 496 http://sbgi.net
## 497 http://www.comettv.com/
## 498 http://www.cbs6albany.com
## 499 http://sbgi.net
## 500 http://www.comettv.com/
## 501 https://dayton247now.com/
## 502 http://mytvdayton.com/
## 503 http://www.comettv.com/
## 504 http://sbgi.net
## 505 http://www.foxrichmond.com
## 506 http://www.mytvrichmond.com
## 507 http://www.comettv.com/
## 508 http://sbgi.net
## 509 http://sbgi.net
## 510 http://www.foxillinois.com
## 511 http://sbgi.net
## 512 http://sbgi.net
## 513 http://www.wsbt.com
## 514 http://sbgi.net
## 515 http://www.wset.com
## 516 http://sbgi.net
## 517 http://www.comettv.com/
## 518 http://sbgi.net
## 519 http://www.wsmh.com
## 520 http://sbgi.net
## 521 http://www.comettv.com/
## 522 http://sbgi.net
## 523 http://www.cnycentral.com
## 524 http://sbgi.net
## 525 http://www.comettv.com/
## 526 http://www.cnycentral.com
## 527 http://www.star64.tv
## 528 http://sbgi.net
## 529 http://www.comettv.com/
## 530 http://sbgi.net
## 531 http://www.thecw38.com
## 532 http://sbgi.net
## 533 http://www.comettv.com/
## 534 http://sbgi.net
## 535 http://www.abc6onyourside.com
## 536 http://sbgi.net
## 537 http://sbgi.net
## 538 http://www.my15wtcn.com
## 539 http://sbgi.net
## 540 http://sbgi.net
## 541 http://sbgi.net
## 542 http://www.foxsavannah.com
## 543 http://www.comettv.com/
## 544 http://sbgi.net
## 545 http://sbgi.net
## 546 http://sbgi.net
## 547 http://www.comettv.com/
## 548 http://sbgi.net
## 549 http://sbgi.net
## 550 http://sbgi.net
## 551 http://www.upnorthlive.com
## 552 http://sbgi.net
## 553 http://www.comettv.com/
## 554 http://www.wtov9.com
## 555 http://sbgi.net
## 556 http://sbgi.net
## 557 http://www.myfox28columbus.com
## 558 http://sbgi.net
## 559 http://sbgi.net
## 560 http://www.wtto21.com
## 561 http://sbgi.net
## 562 http://www.comettv.com/
## 563 http://sbgi.net
## 564 https://newschannel9.com/
## 565 http://www.foxchattanooga.com
## 566 http://sbgi.net
## 567 http://www.cnycentral.com
## 568 http://sbgi.net
## 569 http://sbgi.net
## 570 http://www.cw34.com
## 571 http://sbgi.net
## 572 http://sbgi.net
## 573 http://www.mytvz.com
## 574 http://sbgi.net
## 575 http://www.comettv.com/
## 576 http://sbgi.net
## 577 http://www.wtwc40.com
## 578 http://fox49.tv/
## 579 http://sbgi.net
## 580 http://www.thecw23.com
## 581 http://www.comettv.com/
## 582 http://sbgi.net
## 583 http://sbgi.net
## 584 http://www.foxrochester.com
## 585 http://sbgi.net
## 586 http://www.comettv.com/
## 587 http://sbgi.net
## 588 http://www.mytvbaltimore.com
## 589 http://sbgi.net
## 590 http://sbgi.net
## 591 http://sbgi.net
## 592 http://www.wutv29.com
## 593 http://sbgi.net
## 594 http://sbgi.net
## 595 http://www.mytv30web.com
## 596 http://sbgi.net
## 597 http://www.comettv.com/
## 598 http://www.wvah.com
## 599 http://sbgi.net
## 600 http://www.comettv.com/
## 601 http://www.super18tv.com
## 602 http://sbgi.net
## 603 http://www.comettv.com/
## 604 http://www.azteca48.com
## 605 http://sbgi.net
## 606 http://sbgi.net
## 607 http://www.cwcolumbus.com
## 608 http://sbgi.net
## 609 http://www.comettv.com/
## 610 http://wpde.com/
## 611 http://sbgi.net
## 612 http://sbgi.net
## 613 http://sbgi.net
## 614 http://www.wwmt.com
## 615 http://cw7michigan.com
## 616 http://www.comettv.com/
## 617 http://www.abc45.com
## 618 http://sbgi.net
## 619 http://sbgi.net
## 620 http://sbgi.net
## 621 http://sbgi.net
## 622 http://sbgi.net
## 623 http://sbgi.net
## 624 http://sbgi.net
## 625 http://www.sbgi.net
## 626 http://www.fox17.com
## 627 http://sbgi.net
## 628 http://sbgi.net
## Web_Address Station Channel
## 1 http://www.foxkansas.com KAAS Primary
## 2 http://sbgi.net KAAS Secondary
## 3 http://www.comettv.com/ KAAS Tertiary
## 4 http://www.foxkansas.com KAAS-LD Primary
## 5 http://sbgi.net KAAS-LD Secondary
## 6 http://www.comettv.com/ KAAS-LD Tertiary
## 7 http://www.foxsanantonio.com/ KABB Primary
## 8 http://www.comettv.com/ KABB Secondary
## 9 http://sbgi.net KABB Tertiary
## 10 http://sbgi.net KAEF Primary
## 11 http://sbgi.net KAEF Secondary
## 12 http://sbgi.net KAEF Tertiary
## 13 http://www.katu.com/ KATU Primary
## 14 http://sbgi.net KATU Secondary
## 15 http://www.comettv.com/ KATU Tertiary
## 16 http://sbgi.net KATU Quaternary
## 17 http://www.katv.com KATV Primary
## 18 http://www.comettv.com/ KATV Secondary
## 19 http://sbgi.net KATV Tertiary
## 20 http://sbgi.net KATV Quaternary
## 21 http://bakersfieldnow.com/ KBAK Primary
## 22 http://sbgi.net KBAK Secondary
## 23 http://sbgi.net KBAK Tertiary
## 24 http://sbgi.net KBAK Quaternary
## 25 http://www.bakersfieldnow.com/fox58/schedule KBFX Primary
## 26 http://sbgi.net KBFX Secondary
## 27 http://www.comettv.com/ KBFX Tertiary
## 28 http://sbgi.net KBFX Quaternary
## 29 https://idahonews.com/ KBOI Primary
## 30 http://sbgi.net KBOI Secondary
## 31 http://sbgi.net KBOI Tertiary
## 32 http://fox4beaumont.com/ KBTV Primary
## 33 http://sbgi.net KBTV Secondary
## 34 http://www.comettv.com/ KBTV Tertiary
## 35 http://sbgi.net KBTV Quaternary
## 36 http://sbgi.net KBTV Quinary
## 37 http://www.siouxlandnews.com/ LPTV Primary
## 38 http://sbgi.net LPTV Secondary
## 39 http://sbgi.net LPTV Tertiary
## 40 http://sbgi.net LPTV Quaternary
## 41 http://sbgi.net KBVU Primary
## 42 http://www.comettv.com/ KBVU Secondary
## 43 http://sbgi.net KBVU Tertiary
## 44 http://sbgi.net KBVU Quaternary
## 45 http://www.kcby.com KCBY Primary
## 46 http://sbgi.net KCBY Secondary
## 47 http://sbgi.net KCBY Tertiary
## 48 http://sbgi.net KCFW Primary
## 49 http://sbgi.net KCFW Secondary
## 50 http://sbgi.net KCFW Tertiary
## 51 http://sbgi.net KCVU Primary
## 52 http://www.comettv.com/ KCVU Secondary
## 53 http://sbgi.net KCVU Tertiary
## 54 http://sbgi.net KCVU Quaternary
## 55 http://sbgi.net KCVU Quinary
## 56 http://www.cbs4local.com/ KDBC Primary
## 57 http://sbgi.net KDBC Secondary
## 58 http://sbgi.net KDBC Tertiary
## 59 http://sbgi.net KDBZ-CD Primary
## 60 http://sbgi.net KDBZ-CD Secondary
## 61 http://sbgi.net KDBZ-CD Tertiary
## 62 http://www.abcstlouis.com KDNL Primary
## 63 http://sbgi.net KDNL Secondary
## 64 http://sbgi.net KDNL Tertiary
## 65 http://sbgi.net KDNL Quaternary
## 66 http://www.kdsm.com KDSM Primary
## 67 http://www.comettv.com/ KDSM Secondary
## 68 http://sbgi.net KDSM Tertiary
## 69 http://sbgi.net KDSM Quaternary
## 70 http://sbgi.net KECA-LD Primary
## 71 http://sbgi.net KECA-LD Secondary
## 72 http://sbgi.net KECI Primary
## 73 http://sbgi.net KECI Secondary
## 74 http://sbgi.net KECI Tertiary
## 75 http://www.comettv.com/ KENV Primary
## 76 http://www.keprtv.com KEPR Primary
## 77 http://sbgi.net KEPR Secondary
## 78 http://sbgi.net KEPR Tertiary
## 79 http://sbgi.net KEUV-LP Primary
## 80 http://www.cbsaustin.com KEYE Primary
## 81 http://telemundoaustin.com KEYE Secondary
## 82 http://www.kfdm.com KFDM Primary
## 83 http://sbgi.net KFDM Secondary
## 84 http://sbgi.net KFDM Tertiary
## 85 http://www.kfoxtv.com KFOX Primary
## 86 http://www.comettv.com/ KFOX Secondary
## 87 http://sbgi.net KFOX Tertiary
## 88 http://sbgi.net KFOX Quaternary
## 89 http://www.kmph.com/ KFRE Primary
## 90 http://sbgi.net KFRE Secondary
## 91 http://sbgi.net KFRE Tertiary
## 92 http://sbgi.net KFRE Quaternary
## 93 http://fox28iowa.com KFXA Primary
## 94 http://sbgi.net KFXA Secondary
## 95 http://sbgi.net KFXA Tertiary
## 96 http://sbgi.net KFXA Quaternary
## 97 http://www.foxnebraska.com/ KFXL Primary
## 98 http://www.cbs2iowa.com KGAN Primary
## 99 http://sbgi.net KGAN Secondary
## 100 http://www.comettv.com/ KGAN Tertiary
## 101 http://sbgi.net KGAN Quaternary
## 102 http://sbgi.net KGBT Secondary
## 103 http://www.comettv.com/ KGBT Tertiary
## 104 http://sbgi.net KGBT Quaternary
## 105 http://www.nebraska.tv/ KHGI Primary
## 106 http://sbgi.net KHGI Secondary
## 107 http://sbgi.net KHGI Tertiary
## 108 http://sbgi.net KHGI-CD Primary
## 109 http://sbgi.net KHGI-LD Primary
## 110 http://sbgi.net KHGI-LD Secondary
## 111 http://sbgi.net KHGI-LD Tertiary
## 112 http://sbgi.net KHGI-LD Quaternary
## 113 http://khqa.com/ KHQA Primary
## 114 http://sbgi.net KHQA Secondary
## 115 http://www.comettv.com/ KHQA Tertiary
## 116 http://www.kimatv.com KIMA Primary
## 117 http://sbgi.net KIMA Secondary
## 118 http://sbgi.net KIMA Tertiary
## 119 http://sbgi.net KJZZ Primary
## 120 http://www.comettv.com/ KJZZ Secondary
## 121 http://sbgi.net KJZZ Tertiary
## 122 http://sbgi.net KJZZ Quaternary
## 123 http://sbgi.net KKTF-LD Primary
## 124 http://sbgi.net KKTF-LD Secondary
## 125 http://www.klewtv.com KLEW Primary
## 126 http://sbgi.net KLEW Secondary
## 127 http://www.comettv.com/ KLEW Tertiary
## 128 http://www.sbgi.net KMCB Primary
## 129 http://sbgi.net KMCB Secondary
## 130 http://www.comettv.com/ KMCB Tertiary
## 131 http://www.siouxlandnews.com/ KMEG Primary
## 132 http://sbgi.net KMEG Secondary
## 133 http://www.comettv.com/ KMEG Tertiary
## 134 http://www.kmph.com/ KMPH Primary
## 135 http://sbgi.net KMPH Secondary
## 136 http://www.comettv.com/ KMPH Tertiary
## 137 http://sbgi.net KMPH Quaternary
## 138 http://www.kmph.com KMPH-CD Primary
## 139 http://sbgi.net KMPH-CD Secondary
## 140 http://www.comettv.com/ KMPH-CD Tertiary
## 141 http://sbgi.net KMPH-CD Quaternary
## 142 https://nbc16.com/ KMTR Primary
## 143 http://sbgi.net KMTR Secondary
## 144 http://www.comettv.com/ KMTR Tertiary
## 145 http://mytvwichita.com KMTW Primary
## 146 http://sbgi.net KMTW Secondary
## 147 http://sbgi.net KMTW Tertiary
## 148 http://sbgi.net KMTW Quaternary
## 149 http://www.kmys.tv KMYS Primary
## 150 http://sbgi.net KMYS Secondary
## 151 http://sbgi.net KMYS Tertiary
## 152 http://www.kmyu.tv KMYU Primary
## 153 http://sbgi.net KMYU Secondary
## 154 http://nevadasportsnet.com/ KNSN Primary
## 155 http://sbgi.net KNSN Secondary
## 156 http://www.comettv.com/ KNSN Tertiary
## 157 http://www.cwokc.com KOCB Primary
## 158 http://sbgi.net KOCB Secondary
## 159 http://www.comettv.com/ KOCB Tertiary
## 160 http://www.foxkansas.com KOCW Primary
## 161 http://sbgi.net KOCW Secondary
## 162 http://www.comettv.com/ KOCW Tertiary
## 163 http://www.okcfox.com KOKH Primary
## 164 http://sbgi.net KOKH Secondary
## 165 http://sbgi.net KOKH Tertiary
## 166 http://www.komonews.com KOMO Primary
## 167 http://www.comettv.com/ KOMO Secondary
## 168 http://sbgi.net KOMO Tertiary
## 169 http://www.kunwtv.com KORX Primary
## 170 http://www.comettv.com/ KORX Secondary
## 171 http://sbgi.net KORX Tertiary
## 172 http://sbgi.net KORX Quaternary
## 173 http://www.kpic.com KPIC Primary
## 174 http://sbgi.net KPIC Secondary
## 175 http://sbgi.net KPIC Tertiary
## 176 http://www.siouxlandnews.com KPTH Primary
## 177 http://sbgi.net KPTH Secondary
## 178 http://sbgi.net KPTH Tertiary
## 179 http://sbgi.net KPTH Quaternary
## 180 http://www.kptm.com KPTM Primary
## 181 http://sbgi.net KPTM Secondary
## 182 http://www.comettv.com/ KPTM Tertiary
## 183 http://www.siouxlandnews.com LPTV Primary
## 184 http://sbgi.net LPTV Secondary
## 185 http://sbgi.net LPTV Tertiary
## 186 http://sbgi.net LPTV Quaternary
## 187 http://krcgtv.com/ KRCG Primary
## 188 http://www.comettv.com/ KRCG Secondary
## 189 http://sbgi.net KRCG Tertiary
## 190 http://sbgi.net KRCG Quaternary
## 191 https://krcrtv.com/ KRCR Primary
## 192 http://sbgi.net KRCR Secondary
## 193 http://sbgi.net KRCR Tertiary
## 194 http://sbgi.net KRCR Quaternary
## 195 http://www.mynews4.com KRNV Primary
## 196 http://sbgi.net KRNV Secondary
## 197 http://sbgi.net KRNV Tertiary
## 198 http://sbgi.net KRVU-LD Primary
## 199 http://www.comettv.com/ KRVU-LD Secondary
## 200 http://sbgi.net KRVU-LD Tertiary
## 201 http://www.foxreno.com KRXI Primary
## 202 http://sbgi.net KRXI Secondary
## 203 http://sbgi.net KRXI Tertiary
## 204 http://www.foxkansas.com KSAS Primary
## 205 http://sbgi.net KSAS Secondary
## 206 http://www.comettv.com/ KSAS Tertiary
## 207 http://www.foxkansas.com KSAS-LD Primary
## 208 http://sbgi.net KSAS-LD Secondary
## 209 http://www.comettv.com/ KSAS-LD Tertiary
## 210 http://fox38corpuschristi.com/ KUQI Primary
## 211 http://sbgi.net KUQI Secondary
## 212 http://sbgi.net KUQI Tertiary
## 213 http://www.mynews3.com KSNV Primary
## 214 http://sbgi.net KSNV Secondary
## 215 http://sbgi.net KSNV Tertiary
## 216 http://sbgi.net KSNV Quaternary
## 217 http://www.sbgi.net KTCW Primary
## 218 http://sbgi.net KTCW Secondary
## 219 http://www.comettv.com/ KTCW Tertiary
## 220 http://sbgi.net KTES-LD Primary
## 221 http://www.sbgi.net KTOV Primary
## 222 http://www.ktul.com KTUL Primary
## 223 http://www.comettv.com/ KTUL Secondary
## 224 http://sbgi.net KTUL Tertiary
## 225 http://sbgi.net KTUL Quaternary
## 226 http://www.ktvl.com KTVL Primary
## 227 http://www.southernoregoncw.com KTVL Secondary
## 228 http://www.comettv.com/ KTVL Tertiary
## 229 http://sbgi.net KTVL Quaternary
## 230 http://sbgi.net KTVM Primary
## 231 http://sbgi.net KTVM Secondary
## 232 http://sbgi.net KTVM Tertiary
## 233 http://ktvo.com/ KTVO Primary
## 234 http://sbgi.net KTVO Secondary
## 235 http://www.comettv.com/ KTVO Tertiary
## 236 http://sbgi.net KTXE-LD Primary
## 237 http://sbgi.net KTXE-LD Secondary
## 238 http://sbgi.net KTXE-LD Tertiary
## 239 https://ktxs.com/ KTXS Primary
## 240 http://sbgi.net KTXS Secondary
## 241 http://sbgi.net KTXS Tertiary
## 242 http://sbgi.net KUCO-LP Primary
## 243 http://www.kunptv.com KUNP Primary
## 244 http://sbgi.net KUNP Secondary
## 245 http://sbgi.net KUNP Tertiary
## 246 http://www.kunptv.com KUNP-LD Primary
## 247 http://sbgi.net KUNP-LD Secondary
## 248 http://sbgi.net KUNP-LD Tertiary
## 249 http://www.univisionseattle.com KUNS Primary
## 250 http://sbgi.net KUNS Secondary
## 251 http://sbgi.net KUNS Tertiary
## 252 http://www.kunwtv.com KUNW Primary
## 253 http://www.comettv.com/ KUNW Secondary
## 254 http://sbgi.net KUNW Tertiary
## 255 http://sbgi.net KUNW Quaternary
## 256 http://kutv.com KUTV Primary
## 257 http://sbgi.net KUTV Secondary
## 258 http://www.kval.com KVAL Primary
## 259 http://sbgi.net KVAL Secondary
## 260 http://sbgi.net KVAL Tertiary
## 261 http://www.thecwlasvegas.tv KVCW Primary
## 262 http://www.mylvtv.com/ KVCW Secondary
## 263 http://sbgi.net KVCW Tertiary
## 264 http://sbgi.net KVCW Quaternary
## 265 http://sbgi.net KVCW Quinary
## 266 http://abc7amarillo.com/ KVIH Primary
## 267 http://sbgi.net KVIH Secondary
## 268 http://www.comettv.com/ KVIH Tertiary
## 269 http://sbgi.net KVIH Quaternary
## 270 http://abc7amarillo.com/ KVII Primary
## 271 http://sbgi.net KVII Secondary
## 272 http://www.comettv.com/ KVII Tertiary
## 273 http://sbgi.net KVII Quaternary
## 274 http://www.kunwtv.com KVVK Primary
## 275 http://www.comettv.com/ KVVK Secondary
## 276 http://sbgi.net KVVK Tertiary
## 277 http://sbgi.net KVVK Quaternary
## 278 http://sbgi.net KWNB Primary
## 279 http://sbgi.net KWNB Secondary
## 280 http://sbgi.net KWNB-LD Primary
## 281 http://sbgi.net KWNB-LD Secondary
## 282 http://www.sbgi.net KXPX Primary
## 283 http://www.cw15kxvo.com KXVO Primary
## 284 http://sbgi.net KXVO Secondary
## 285 http://sbgi.net KXVO Tertiary
## 286 http://sbgi.net KXVO Quaternary
## 287 http://www.cwtreasurevalley.com KYUU Primary
## 288 http://sbgi.net KYUU Secondary
## 289 http://www.comettv.com/ KYUU Tertiary
## 290 http://sbgi.net KYUU Quaternary
## 291 http://sbgi.net KYUU Quinary
## 292 http://www.wabm68.com WABM Primary
## 293 http://sbgi.net WABM Secondary
## 294 http://sbgi.net WABM Tertiary
## 295 http://sbgi.net WABM Quaternary
## 296 http://www.wach.com WACH Primary
## 297 http://sbgi.net WACH Secondary
## 298 http://www.comettv.com/ WACH Tertiary
## 299 http://sbgi.net WACH Quaternary
## 300 http://www.foxbaltimore.com WBFF Primary
## 301 http://sbgi.net WBFF Secondary
## 302 http://sbgi.net WBFF Tertiary
## 303 http://sbgi.net WBFF Quaternary
## 304 http://www.abc3340.com WBMA Primary
## 305 http://sbgi.net WBMA Secondary
## 306 http://sbgi.net WBMA Tertiary
## 307 http://sbgi.net WBMA Quaternary
## 308 http://www.thecw46.com WBSF Primary
## 309 http://sbgi.net WBSF Secondary
## 310 http://sbgi.net WBSF Tertiary
## 311 http://www.cw23tv.com WBUI Primary
## 312 http://sbgi.net WBUI Secondary
## 313 http://sbgi.net WBUI Tertiary
## 314 http://www.foxillinois.com WCCU Primary
## 315 http://sbgi.net WCCU Secondary
## 316 http://sbgi.net WCCU Tertiary
## 317 http://www.wchstv.com WCHS Primary
## 318 http://sbgi.net WCHS Secondary
## 319 http://sbgi.net WCHS Tertiary
## 320 http://sbgi.net WCHS Quaternary
## 321 http://mytvcharleston.com/ WCIV Primary
## 322 http://www.abcnews4.com WCIV Secondary
## 323 http://sbgi.net WCIV Tertiary
## 324 http://sbgi.net WCIV Quaternary
## 325 https://wcti12.com/ WCTI Primary
## 326 http://www.comettv.com/ WCTI Secondary
## 327 http://sbgi.net WCTI Tertiary
## 328 http://sbgi.net WCTI Quaternary
## 329 http://cw14online.com WCWF Primary
## 330 http://www.comettv.com/ WCWF Secondary
## 331 http://sbgi.net WCWF Tertiary
## 332 http://sbgi.net WCWF Quaternary
## 333 http://sbgi.net WCWF Quinary
## 334 http://www.cwalbany.com WCWN Primary
## 335 http://sbgi.net WCWN Secondary
## 336 http://sbgi.net WCWN Tertiary
## 337 http://sbgi.net WCWN Quaternary
## 338 http://sbgi.net WCYB Primary
## 339 http://sbgi.net WCYB Secondary
## 340 http://www.comettv.com/ WCYB Tertiary
## 341 http://www.wtto21.com WDBB Primary
## 342 http://sbgi.net WDBB Secondary
## 343 http://sbgi.net WDBB Tertiary
## 344 http://www.weartv.com WEAR Primary
## 345 http://sbgi.net WEAR Secondary
## 346 http://sbgi.net WEAR Tertiary
## 347 http://sbgi.net WEMT Primary
## 348 http://sbgi.net WEMT Secondary
## 349 http://sbgi.net WEMT Tertiary
## 350 http://sbgi.net WEMT Quaternary
## 351 http://nbc25news.com/ WEYI Primary
## 352 http://sbgi.net WEYI Secondary
## 353 http://sbgi.net WEYI Tertiary
## 354 http://sbgi.net WEYI Quaternary
## 355 http://www.wfgxtv.com WFGX Primary
## 356 http://sbgi.net WFGX Secondary
## 357 http://www.comettv.com/ WFGX Tertiary
## 358 http://chattanoogacw.com WFLI Primary
## 359 http://sbgi.net WFLI Secondary
## 360 http://sbgi.net WFLI Tertiary
## 361 http://sbgi.net WFLI Quaternary
## 362 http://www.wfxl.com WFXL Primary
## 363 http://sbgi.net WFXL Secondary
## 364 http://www.comettv.com/ WFXL Tertiary
## 365 http://sbgi.net WFXL Quaternary
## 366 http://mycbs4.com/ WGFL Primary
## 367 http://sbgi.net WGFL Secondary
## 368 http://sbgi.net WGFL Tertiary
## 369 http://www.wgme.com WGME Primary
## 370 http://sbgi.net WGME Secondary
## 371 http://sbgi.net WGME Tertiary
## 372 http://www.upnorthlive.com WGTQ Primary
## 373 http://sbgi.net WGTQ Secondary
## 374 http://www.comettv.com/ WGTQ Tertiary
## 375 http://www.upnorthlive.com WGTU Primary
## 376 http://sbgi.net WGTU Secondary
## 377 http://www.wgxa.tv WGXA Primary
## 378 http://sbgi.net WGXA Secondary
## 379 http://www.comettv.com/ WGXA Tertiary
## 380 http://www.13wham.com WHAM Primary
## 381 http://www.cwrochester.com WHAM Secondary
## 382 http://sbgi.net WHAM Tertiary
## 383 http://www.comettv.com/ WHOI Primary
## 384 http://www.local21news.com WHP Primary
## 385 http://sbgi.net WHP Secondary
## 386 http://www.cwcentralpa.com WHP Tertiary
## 387 http://www.comettv.com/ WHP Quaternary
## 388 http://www.wicd15.com WICD Primary
## 389 http://www.comettv.com/ WICD Secondary
## 390 http://sbgi.net WICD Tertiary
## 391 http://sbgi.net WICD Quaternary
## 392 http://www.wics.com WICS Primary
## 393 http://www.comettv.com/ WICS Secondary
## 394 http://sbgi.net WICS Tertiary
## 395 http://sbgi.net WICS Quaternary
## 396 http://www.wjactv.com WJAC Primary
## 397 http://sbgi.net WJAC Secondary
## 398 http://www.comettv.com/ WJAC Tertiary
## 399 http://sbgi.net WJAC Quaternary
## 400 http://www.turnto10.com WJAR Primary
## 401 http://sbgi.net WJAR Secondary
## 402 http://www.comettv.com/ WJAR Tertiary
## 403 http://sbgi.net WJAR Quaternary
## 404 http://www.wjla.com WJLA Primary
## 405 http://sbgi.net WJLA Secondary
## 406 http://www.comettv.com/ WJLA Tertiary
## 407 http://sbgi.net WJLA Quaternary
## 408 http://www.utv44.com WJTC Primary
## 409 http://sbgi.net WJTC Secondary
## 410 http://sbgi.net WJTC Tertiary
## 411 https://dayton247now.com/ WKEF Primary
## 412 http://sbgi.net WKEF Secondary
## 413 http://sbgi.net WKEF Tertiary
## 414 http://sbgi.net WKEF Quaternary
## 415 http://www.local12.com WKRC Primary
## 416 http://cwcincinnati.com/ WKRC Secondary
## 417 http://sbgi.net WKRC Tertiary
## 418 http://www.raleighcw.com WLFL Primary
## 419 http://sbgi.net WLFL Secondary
## 420 http://sbgi.net WLFL Tertiary
## 421 http://sbgi.net WLFL Quaternary
## 422 http://www.wlos.com WLOS Primary
## 423 http://sbgi.net WLOS Secondary
## 424 http://sbgi.net WLOS Tertiary
## 425 http://sbgi.net WLOS Quaternary
## 426 http://fox11online.com WLUK Primary
## 427 http://sbgi.net WLUK Secondary
## 428 http://sbgi.net WLUK Tertiary
## 429 http://www.fox47.com WMSN Primary
## 430 http://www.comettv.com/ WMSN Secondary
## 431 http://sbgi.net WMSN Tertiary
## 432 http://sbgi.net WMSN Quaternary
## 433 http://www.my40.tv WMYA Primary
## 434 http://www.comettv.com/ WMYA Secondary
## 435 http://sbgi.net WMYA Tertiary
## 436 http://sbgi.net WMYA Quaternary
## 437 http://sbgi.net WMYA Quinary
## 438 http://www.my48.tv WMYV Primary
## 439 http://sbgi.net WMYV Secondary
## 440 http://www.comettv.com/ WMYV Tertiary
## 441 http://www.cw58.tv WNAB Primary
## 442 http://sbgi.net WNAB Secondary
## 443 http://sbgi.net WNAB Tertiary
## 444 http://sbgi.net WNAB Quaternary
## 445 http://mycbs4.com/ WNBW Primary
## 446 http://sbgi.net WNBW Secondary
## 447 http://www.comettv.com/ WNBW Tertiary
## 448 http://sbgi.net WNBW Quaternary
## 449 http://www.cwbaltimore.com WNUV Primary
## 450 http://sbgi.net WNUV Secondary
## 451 http://www.comettv.com/ WNUV Tertiary
## 452 http://sbgi.net WNUV Quaternary
## 453 http://nbc24.com/ WNWO Primary
## 454 http://sbgi.net WNWO Secondary
## 455 http://www.comettv.com/ WNWO Tertiary
## 456 http://sbgi.net WNWO Quaternary
## 457 http://www.mytvbuffalo.com WNYO Primary
## 458 http://sbgi.net WNYO Secondary
## 459 http://www.comettv.com/ WNYO Tertiary
## 460 http://sbgi.net WNYO Quaternary
## 461 http://www.news4sanantonio.com WOAI Primary
## 462 http://sbgi.net WOAI Secondary
## 463 http://sbgi.net WOAI Tertiary
## 464 http://www.FOX56.com WOLF Primary
## 465 http://sbgi.net WOLF Secondary
## 466 http://sbgi.net WOLF Tertiary
## 467 http://www.upnorthlive.com WPBN Primary
## 468 http://sbgi.net WPBN Secondary
## 469 http://www.comettv.com/ WPBN Tertiary
## 470 http://wpde.com/ WPDE Primary
## 471 http://sbgi.net WPDE Secondary
## 472 http://www.comettv.com/ WPDE Tertiary
## 473 http://sbgi.net WPDE Quaternary
## 474 http://sbgi.net WPDE Quinary
## 475 http://www.cbs12.com WPEC Primary
## 476 http://sbgi.net WPEC Secondary
## 477 http://www.comettv.com/ WPEC Tertiary
## 478 https://fox23maine.com/ WPFO Primary
## 479 http://sbgi.net WPFO Secondary
## 480 http://www.comettv.com/ WPFO Tertiary
## 481 http://sbgi.net WPFO Quaternary
## 482 http://www.wpgh53.com WPGH Primary
## 483 http://sbgi.net WPGH Secondary
## 484 http://sbgi.net WPGH Tertiary
## 485 https://mynbc15.com/ WPMI Primary
## 486 http://sbgi.net WPMI Secondary
## 487 http://sbgi.net WPMI Tertiary
## 488 http://www.22thepoint.com WPNT Primary
## 489 http://sbgi.net WPNT Secondary
## 490 http://www.comettv.com/ WPNT Tertiary
## 491 http://sbgi.net WPNT Quaternary
## 492 http://www.FOX56.com WQMY Primary
## 493 http://sbgi.net WQMY Secondary
## 494 http://sbgi.net WQMY Tertiary
## 495 http://www.myrdctv.com WRDC Primary
## 496 http://sbgi.net WRDC Secondary
## 497 http://www.comettv.com/ WRDC Tertiary
## 498 http://www.cbs6albany.com WRGB Primary
## 499 http://sbgi.net WRGB Secondary
## 500 http://www.comettv.com/ WRGB Tertiary
## 501 https://dayton247now.com/ WRGT Primary
## 502 http://mytvdayton.com/ WRGT Secondary
## 503 http://www.comettv.com/ WRGT Tertiary
## 504 http://sbgi.net WRGT Quaternary
## 505 http://www.foxrichmond.com WRLH Primary
## 506 http://www.mytvrichmond.com WRLH Secondary
## 507 http://www.comettv.com/ WRLH Tertiary
## 508 http://sbgi.net WRLH Quaternary
## 509 http://sbgi.net WRLH Quinary
## 510 http://www.foxillinois.com WRSP Primary
## 511 http://sbgi.net WRSP Secondary
## 512 http://sbgi.net WRSP Tertiary
## 513 http://www.wsbt.com WSBT Primary
## 514 http://sbgi.net WSBT Secondary
## 515 http://www.wset.com WSET Primary
## 516 http://sbgi.net WSET Secondary
## 517 http://www.comettv.com/ WSET Tertiary
## 518 http://sbgi.net WSET Quaternary
## 519 http://www.wsmh.com WSMH Primary
## 520 http://sbgi.net WSMH Secondary
## 521 http://www.comettv.com/ WSMH Tertiary
## 522 http://sbgi.net WSMH Quaternary
## 523 http://www.cnycentral.com WSTM Primary
## 524 http://sbgi.net WSTM Secondary
## 525 http://www.comettv.com/ WSTM Tertiary
## 526 http://www.cnycentral.com WSTQ Primary
## 527 http://www.star64.tv WSTR Primary
## 528 http://sbgi.net WSTR Secondary
## 529 http://www.comettv.com/ WSTR Tertiary
## 530 http://sbgi.net WSTR Quaternary
## 531 http://www.thecw38.com WSWB Primary
## 532 http://sbgi.net WSWB Secondary
## 533 http://www.comettv.com/ WSWB Tertiary
## 534 http://sbgi.net WSWB Quaternary
## 535 http://www.abc6onyourside.com WSYX Primary
## 536 http://sbgi.net WSYX Secondary
## 537 http://sbgi.net WSYX Tertiary
## 538 http://www.my15wtcn.com WTCN Primary
## 539 http://sbgi.net WTCN Secondary
## 540 http://sbgi.net WTCN Tertiary
## 541 http://sbgi.net WTCN Quaternary
## 542 http://www.foxsavannah.com WTGS Primary
## 543 http://www.comettv.com/ WTGS Secondary
## 544 http://sbgi.net WTGS Tertiary
## 545 http://sbgi.net WTGS Quaternary
## 546 http://sbgi.net WTLF Primary
## 547 http://www.comettv.com/ WTLF Secondary
## 548 http://sbgi.net WTLF Tertiary
## 549 http://sbgi.net WTLF Quaternary
## 550 http://sbgi.net WTLF Quinary
## 551 http://www.upnorthlive.com WTOM Primary
## 552 http://sbgi.net WTOM Secondary
## 553 http://www.comettv.com/ WTOM Tertiary
## 554 http://www.wtov9.com WTOV Primary
## 555 http://sbgi.net WTOV Secondary
## 556 http://sbgi.net WTOV Tertiary
## 557 http://www.myfox28columbus.com WTTE Primary
## 558 http://sbgi.net WTTE Secondary
## 559 http://sbgi.net WTTE Tertiary
## 560 http://www.wtto21.com WTTO Primary
## 561 http://sbgi.net WTTO Secondary
## 562 http://www.comettv.com/ WTTO Tertiary
## 563 http://sbgi.net WTTO Quaternary
## 564 https://newschannel9.com/ WTVC Primary
## 565 http://www.foxchattanooga.com WTVC Secondary
## 566 http://sbgi.net WTVC Tertiary
## 567 http://www.cnycentral.com WTVH Primary
## 568 http://sbgi.net WTVH Secondary
## 569 http://sbgi.net WTVH Tertiary
## 570 http://www.cw34.com WTVX Primary
## 571 http://sbgi.net WTVX Secondary
## 572 http://sbgi.net WTVX Tertiary
## 573 http://www.mytvz.com WTVZ Primary
## 574 http://sbgi.net WTVZ Secondary
## 575 http://www.comettv.com/ WTVZ Tertiary
## 576 http://sbgi.net WTVZ Quaternary
## 577 http://www.wtwc40.com WTWC Primary
## 578 http://fox49.tv/ WTWC Secondary
## 579 http://sbgi.net WTWC Tertiary
## 580 http://www.thecw23.com WUCW Primary
## 581 http://www.comettv.com/ WUCW Secondary
## 582 http://sbgi.net WUCW Tertiary
## 583 http://sbgi.net WUCW Quaternary
## 584 http://www.foxrochester.com WUHF Primary
## 585 http://sbgi.net WUHF Secondary
## 586 http://www.comettv.com/ WUHF Tertiary
## 587 http://sbgi.net WUHF Quaternary
## 588 http://www.mytvbaltimore.com WUTB Primary
## 589 http://sbgi.net WUTB Secondary
## 590 http://sbgi.net WUTB Tertiary
## 591 http://sbgi.net WUTB Quaternary
## 592 http://www.wutv29.com WUTV Primary
## 593 http://sbgi.net WUTV Secondary
## 594 http://sbgi.net WUTV Tertiary
## 595 http://www.mytv30web.com WUXP Primary
## 596 http://sbgi.net WUXP Secondary
## 597 http://www.comettv.com/ WUXP Tertiary
## 598 http://www.wvah.com WVAH Primary
## 599 http://sbgi.net WVAH Secondary
## 600 http://www.comettv.com/ WVAH Tertiary
## 601 http://www.super18tv.com WVTV Primary
## 602 http://sbgi.net WVTV Secondary
## 603 http://www.comettv.com/ WVTV Tertiary
## 604 http://www.azteca48.com WWHB Primary
## 605 http://sbgi.net WWHB Secondary
## 606 http://sbgi.net WWHB Tertiary
## 607 http://www.cwcolumbus.com WWHO Primary
## 608 http://sbgi.net WWHO Secondary
## 609 http://www.comettv.com/ WWHO Tertiary
## 610 http://wpde.com/ WWMB Primary
## 611 http://sbgi.net WWMB Secondary
## 612 http://sbgi.net WWMB Tertiary
## 613 http://sbgi.net WWMB Quaternary
## 614 http://www.wwmt.com WWMT Primary
## 615 http://cw7michigan.com WWMT Secondary
## 616 http://www.comettv.com/ WWMT Tertiary
## 617 http://www.abc45.com WXLV Primary
## 618 http://sbgi.net WXLV Secondary
## 619 http://sbgi.net WXLV Tertiary
## 620 http://sbgi.net WXLV Quaternary
## 621 http://sbgi.net WYDO Primary
## 622 http://sbgi.net WYDO Secondary
## 623 http://sbgi.net WYDO Tertiary
## 624 http://sbgi.net WYDO Quaternary
## 625 http://www.sbgi.net WYME-CD Primary
## 626 http://www.fox17.com WZTV Primary
## 627 http://sbgi.net WZTV Secondary
## 628 http://sbgi.net WZTV Tertiary
## Affiliation
## 1 FOX
## 2 TBD
## 3 Comet
## 4 FOX
## 5 TBD
## 6 Comet
## 7 FOX
## 8 Comet
## 9 TBD
## 10 ABC
## 11 MeTV
## 12 Movies!
## 13 ABC
## 14 MeTV
## 15 Comet
## 16 Stadium Network
## 17 ABC
## 18 Comet
## 19 Charge!
## 20 TBD
## 21 CBS
## 22 FOX
## 23 Charge!
## 24 DABL
## 25 FOX
## 26 TBD
## 27 Comet
## 28 Stadium Network
## 29 CBS
## 30 CW Plus
## 31 Charge!
## 32 FOX
## 33 TBD
## 34 Comet
## 35 Stadium Network
## 36 DABL
## 37 FOX
## 38 DABL
## 39 Charge!
## 40 Stadium Network
## 41 FOX
## 42 Comet
## 43 Charge!
## 44 Stadium Network
## 45 CBS
## 46 TBD
## 47 Charge!
## 48 NBC
## 49 MeTV
## 50 Movies!
## 51 FOX
## 52 Comet
## 53 Charge!
## 54 Stadium Network
## 55 DABL
## 56 CBS
## 57 TBD
## 58 MeTV
## 59 NBC
## 60 MeTV
## 61 Movies!
## 62 ABC
## 63 TBD
## 64 Charge!
## 65 Stadium Network
## 66 FOX
## 67 Comet
## 68 Charge!
## 69 TBD
## 70 CW Plus
## 71 MyTV
## 72 NBC
## 73 MeTV
## 74 Movies!
## 75 Comet
## 76 CBS
## 77 CW Plus
## 78 Stadium Network
## 79 Univision
## 80 CBS
## 81 Telemundo
## 82 CBS
## 83 CW Plus
## 84 Charge!
## 85 FOX
## 86 Comet
## 87 Charge!
## 88 Stadium Network
## 89 CW
## 90 Charge!
## 91 FOX
## 92 TBD
## 93 FOX
## 94 Charge!
## 95 TBD
## 96 Stadium Network
## 97 FOX
## 98 CBS
## 99 Get TV
## 100 Comet
## 101 DABL
## 102 TBD
## 103 Comet
## 104 Estrella
## 105 ABC
## 106 FOX
## 107 TBD
## 108 ABC
## 109 Temp Off Air
## 110 Temp Off Air
## 111 Temp Off Air
## 112 Temp Off Air
## 113 CBS
## 114 ABC
## 115 Comet
## 116 CBS
## 117 CW Plus
## 118 Stadium Network
## 119 Independent
## 120 Comet
## 121 TBD
## 122 Charge!
## 123 Unimas
## 124 Antenna TV
## 125 CBS
## 126 Charge!
## 127 Comet
## 128 NBC
## 129 CW Plus
## 130 Comet
## 131 CBS
## 132 TBD
## 133 Comet
## 134 FOX
## 135 DABL
## 136 Comet
## 137 Stadium Network
## 138 FOX
## 139 DABL
## 140 Comet
## 141 Stadium Network
## 142 NBC
## 143 CW Plus
## 144 Comet
## 145 MyTV
## 146 Stadium Network
## 147 Charge!
## 148 DABL
## 149 CW
## 150 Stadium Network
## 151 DABL
## 152 MyTV
## 153 CBS
## 154 Nevada Sports Network
## 155 Stadium Network
## 156 Comet
## 157 CW
## 158 TBD
## 159 Comet
## 160 FOX
## 161 TBD
## 162 Comet
## 163 FOX
## 164 Charge!
## 165 Stadium Network
## 166 ABC
## 167 Comet
## 168 Charge!
## 169 Univision
## 170 Comet
## 171 TBD
## 172 Charge!
## 173 CBS
## 174 TBD
## 175 Charge!
## 176 FOX
## 177 DABL
## 178 Charge!
## 179 Stadium Network
## 180 FOX
## 181 DABL
## 182 Comet
## 183 FOX
## 184 DABL
## 185 Charge!
## 186 Stadium Network
## 187 CBS
## 188 Comet
## 189 Charge!
## 190 TBD
## 191 ABC
## 192 MeTV
## 193 Movies!
## 194 FOX
## 195 NBC
## 196 DABL
## 197 TBD
## 198 MyTV
## 199 Comet
## 200 Univision
## 201 FOX
## 202 Charge!
## 203 Antenna TV
## 204 FOX
## 205 TBD
## 206 Comet
## 207 FOX
## 208 TBD
## 209 Comet
## 210 FOX
## 211 TBD
## 212 MyTV
## 213 NBC
## 214 Estrella
## 215 Charge!
## 216 Stadium Network
## 217 NBC
## 218 CW Plus
## 219 Comet
## 220 MeTV
## 221 Temp Off Air
## 222 ABC
## 223 Comet
## 224 Antenna TV
## 225 TBD
## 226 CBS
## 227 CW Plus
## 228 Comet
## 229 TBD
## 230 NBC
## 231 MeTV
## 232 Movies!
## 233 ABC
## 234 CBS
## 235 Comet
## 236 ABC
## 237 CW Plus
## 238 MeTV
## 239 ABC
## 240 CW
## 241 MeTV
## 242 Univision
## 243 Univision
## 244 TBD
## 245 Charge!
## 246 Univision
## 247 TBD
## 248 Charge!
## 249 Univision
## 250 TBD
## 251 Stadium Network
## 252 Univision
## 253 Comet
## 254 TBD
## 255 Charge!
## 256 CBS
## 257 MyTV
## 258 CBS
## 259 TBD
## 260 Charge!
## 261 CW
## 262 MyTV
## 263 TBD
## 264 ThisTV
## 265 Comet
## 266 ABC
## 267 CW Plus
## 268 Comet
## 269 Stadium Network
## 270 ABC
## 271 CW Plus
## 272 Comet
## 273 Stadium Network
## 274 Univision
## 275 Comet
## 276 TBD
## 277 Charge!
## 278 ABC
## 279 FOX
## 280 ABC
## 281 FOX
## 282 Temp Off Air
## 283 CW
## 284 TBD
## 285 Charge!
## 286 Stadium Network
## 287 CW Plus
## 288 TBD
## 289 Comet
## 290 Stadium Network
## 291 DABL
## 292 MyTV
## 293 ABC
## 294 Local Weather
## 295 DABL
## 296 FOX
## 297 Stadium Network
## 298 Comet
## 299 TBD
## 300 FOX
## 301 MyTV
## 302 TBD
## 303 Stadium Network
## 304 ABC
## 305 Local Weather
## 306 Stadium Network
## 307 Charge!
## 308 CW
## 309 NBC
## 310 Charge!
## 311 CW
## 312 DABL
## 313 Stadium Network
## 314 FOX
## 315 MeTV
## 316 Antenna TV
## 317 ABC
## 318 Antenna TV
## 319 Charge!
## 320 TBD
## 321 MyTV
## 322 ABC
## 323 MeTV
## 324 FOX
## 325 ABC
## 326 Comet
## 327 DABL
## 328 TBD
## 329 CW
## 330 Comet
## 331 Charge!
## 332 Stadium Network
## 333 DABL
## 334 CW
## 335 Charge!
## 336 CBS
## 337 Stadium Network
## 338 NBC
## 339 CW
## 340 Comet
## 341 CW
## 342 ABC
## 343 Local Weather
## 344 ABC
## 345 TBD
## 346 Charge!
## 347 FOX
## 348 DABL
## 349 Charge!
## 350 TBD
## 351 NBC
## 352 CW
## 353 TBD
## 354 DABL
## 355 MyTV/ThisTV
## 356 Get TV
## 357 Comet
## 358 CW
## 359 MyTV
## 360 MeTV
## 361 Charge!
## 362 FOX
## 363 TBD
## 364 Comet
## 365 Charge!
## 366 CBS
## 367 MyTV
## 368 TBD
## 369 CBS
## 370 TBD
## 371 Stadium Network
## 372 ABC
## 373 NBC
## 374 Comet
## 375 ABC
## 376 NBC
## 377 FOX
## 378 ABC
## 379 Comet
## 380 ABC
## 381 CW
## 382 Charge!
## 383 Comet
## 384 CBS
## 385 MyTV
## 386 CW
## 387 Temp Off Air
## 388 ABC
## 389 Comet
## 390 TBD
## 391 Charge!
## 392 ABC
## 393 Comet
## 394 TBD
## 395 Charge!
## 396 NBC
## 397 MeTV
## 398 Comet
## 399 CW Plus
## 400 NBC
## 401 MeTV
## 402 Comet
## 403 TBD
## 404 ABC
## 405 Charge!
## 406 Comet
## 407 TBD
## 408 Independent
## 409 Grit TV
## 410 DABL
## 411 ABC
## 412 Stadium Network
## 413 Antenna TV
## 414 TBD
## 415 CBS
## 416 CW
## 417 Stadium Network
## 418 CW
## 419 Stadium Network
## 420 TBD
## 421 Antenna TV
## 422 ABC
## 423 MyTV
## 424 Antenna TV
## 425 Stadium Network
## 426 FOX
## 427 Antenna TV
## 428 TBD
## 429 FOX
## 430 Comet
## 431 Charge!
## 432 TBD
## 433 MyTV
## 434 Comet
## 435 TBD
## 436 Charge!
## 437 DABL
## 438 MyTV
## 439 Get TV
## 440 Comet
## 441 CW
## 442 Stadium Network
## 443 Charge!
## 444 DABL
## 445 NBC
## 446 Charge!
## 447 Comet
## 448 Antenna TV
## 449 CW
## 450 Antenna TV
## 451 Comet
## 452 Charge!
## 453 NBC
## 454 Stadium Network
## 455 Comet
## 456 TBD
## 457 MyTV
## 458 Stadium Network
## 459 Comet
## 460 Get TV
## 461 NBC
## 462 Antenna TV
## 463 Charge!
## 464 FOX
## 465 CW
## 466 MyTV
## 467 NBC
## 468 ABC
## 469 Comet
## 470 ABC
## 471 Local Weather
## 472 Comet
## 473 TBD
## 474 DABL
## 475 CBS
## 476 Weather Nation
## 477 Comet
## 478 FOX
## 479 Charge!
## 480 Comet
## 481 DABL
## 482 FOX
## 483 Antenna TV
## 484 Charge!
## 485 NBC
## 486 Weather Nation
## 487 Stadium Network
## 488 MyTV
## 489 Stadium Network
## 490 Comet
## 491 TBD
## 492 MyTV
## 493 FOX
## 494 CW
## 495 MyTV
## 496 Charge!
## 497 Comet
## 498 CBS
## 499 TBD
## 500 Comet
## 501 FOX
## 502 MyTV/DABL
## 503 Comet
## 504 Charge!
## 505 FOX
## 506 MyTV/TBD
## 507 Comet
## 508 Charge!
## 509 DABL
## 510 FOX
## 511 MeTV
## 512 Antenna TV
## 513 CBS
## 514 FOX
## 515 ABC
## 516 Stadium Network
## 517 Comet
## 518 TBD
## 519 FOX
## 520 Antenna TV
## 521 Comet
## 522 Stadium Network
## 523 NBC
## 524 CW
## 525 Comet
## 526 CW
## 527 MyTV
## 528 Antenna TV
## 529 Comet
## 530 TBD
## 531 CW
## 532 MeTV
## 533 Comet
## 534 Stadium Network
## 535 ABC
## 536 MyTV/ThisTV
## 537 Antenna TV
## 538 MyTV
## 539 Antenna TV
## 540 TBD
## 541 DABL
## 542 FOX
## 543 Comet
## 544 Antenna TV
## 545 TBD
## 546 CW Plus
## 547 Comet
## 548 TBD
## 549 Stadium Network
## 550 DABL
## 551 NBC
## 552 ABC
## 553 Comet
## 554 NBC
## 555 FOX
## 556 MeTV
## 557 FOX
## 558 TBD
## 559 Stadium Network
## 560 CW
## 561 Antenna TV
## 562 Comet
## 563 TBD
## 564 ABC
## 565 FOX
## 566 TBD
## 567 CBS
## 568 Charge!
## 569 TBD
## 570 CW
## 571 Azteca
## 572 MyTV
## 573 MyTV
## 574 Stadium Network
## 575 Comet
## 576 TBD
## 577 NBC
## 578 FOX
## 579 Charge!
## 580 CW
## 581 Comet
## 582 Charge!
## 583 TBD
## 584 FOX
## 585 Antenna TV
## 586 Comet
## 587 TBD
## 588 TBD
## 589 Temp Off Air
## 590 Temp Off Air
## 591 Temp Off Air
## 592 FOX
## 593 TBD
## 594 Charge!
## 595 MyTV
## 596 Get TV
## 597 Comet
## 598 FOX
## 599 Stadium Network
## 600 Comet
## 601 CW
## 602 MyTV
## 603 Comet
## 604 Azteca
## 605 Charge!
## 606 Stadium Network
## 607 CW
## 608 Charge!
## 609 Comet
## 610 CW
## 611 CW Plus
## 612 Stadium Network
## 613 Charge!
## 614 CBS
## 615 CW
## 616 Comet
## 617 ABC
## 618 Stadium Network
## 619 Charge!
## 620 TBD
## 621 FOX
## 622 Bounce
## 623 Charge!
## 624 Stadium Network
## 625 Antenna TV
## 626 FOX
## 627 TBD
## 628 Antenna TV
## DMA DMA_Code
## 1 Wichita - Hutchinson, KS 678
## 2 Wichita - Hutchinson, KS 0
## 3 Wichita - Hutchinson, KS 0
## 4 Wichita - Hutchinson, KS 678
## 5 Wichita - Hutchinson, KS 0
## 6 Wichita - Hutchinson, KS 0
## 7 San Antonio, TX 641
## 8 San Antonio, TX 0
## 9 San Antonio, TX 0
## 10 Eureka 802
## 11 Eureka 0
## 12 Eureka 0
## 13 Portland, OR 820
## 14 Portland, OR 0
## 15 Portland, OR 0
## 16 Portland, OR 0
## 17 Little Rock - Pine Bluff, AR 693
## 18 Little Rock - Pine Bluff, AR 0
## 19 Little Rock - Pine Bluff, AR 0
## 20 Little Rock - Pine Bluff, AR 0
## 21 Bakersfield, CA 800
## 22 Bakersfield, CA 0
## 23 Bakersfield, CA 0
## 24 Bakersfield, CA 0
## 25 Bakersfield, CA 800
## 26 Bakersfield, CA 0
## 27 Bakersfield, CA 0
## 28 Bakersfield, CA 0
## 29 Boise, ID 757
## 30 Boise, ID 0
## 31 Boise, ID 0
## 32 Beaumont - Port Arthur, TX 692
## 33 Beaumont - Port Arthur, TX 0
## 34 Beaumont - Port Arthur, TX 0
## 35 Beaumont - Port Arthur, TX 0
## 36 Beaumont - Port Arthur, TX 0
## 37 Sioux City, IA 624
## 38 Sioux City, IA 0
## 39 Sioux City, IA 0
## 40 Sioux City, IA 0
## 41 Eureka 802
## 42 Eureka 0
## 43 Eureka 0
## 44 Eureka 0
## 45 Eugene, OR 801
## 46 Eugene, OR 0
## 47 Eugene, OR 0
## 48 Missoula 762
## 49 Missoula 0
## 50 Missoula 0
## 51 Chico-Redding 868
## 52 Chico-Redding 0
## 53 Chico-Redding 0
## 54 Chico-Redding 0
## 55 Chico-Redding 0
## 56 El Paso, TX 765
## 57 El Paso, TX 0
## 58 El Paso, TX 0
## 59 Butte-Bozeman 754
## 60 Butte-Bozeman 0
## 61 Butte-Bozeman 0
## 62 St. Louis, MO 609
## 63 St. Louis, MO 0
## 64 St. Louis, MO 0
## 65 St. Louis, MO 0
## 66 Des Moines - Ames, IA 679
## 67 Des Moines - Ames, IA 0
## 68 Des Moines - Ames, IA 0
## 69 Des Moines - Ames, IA 0
## 70 Eureka 802
## 71 Eureka 0
## 72 Missoula 762
## 73 Missoula 0
## 74 Missoula 0
## 75 Salt Lake City, UT 770
## 76 Yakima - Pasco - Richland - Kennewick, WA 810
## 77 Yakima - Pasco - Richland - Kennewick, WA 0
## 78 Yakima - Pasco - Richland - Kennewick, WA 0
## 79 Eureka 802
## 80 Austin, TX 635
## 81 Austin, TX 0
## 82 Beaumont - Port Arthur, TX 692
## 83 Beaumont - Port Arthur, TX 0
## 84 Beaumont - Port Arthur, TX 0
## 85 El Paso, TX 765
## 86 El Paso, TX 0
## 87 El Paso, TX 0
## 88 El Paso, TX 0
## 89 Fresno - Visalia, CA 866
## 90 Fresno - Visalia, CA 0
## 91 Fresno - Visalia, CA 0
## 92 Fresno - Visalia, CA 0
## 93 Cedar Rapids - Waterloo - Dubuque, IA 637
## 94 Cedar Rapids - Waterloo - Dubuque, IA 0
## 95 Cedar Rapids - Waterloo - Dubuque, IA 0
## 96 Cedar Rapids - Waterloo - Dubuque, IA 0
## 97 Lincoln - Hastings - Kearney, NE 722
## 98 Cedar Rapids - Waterloo - Dubuque, IA 637
## 99 Cedar Rapids - Waterloo - Dubuque, IA 0
## 100 Cedar Rapids - Waterloo - Dubuque, IA 0
## 101 Cedar Rapids - Waterloo - Dubuque, IA 0
## 102 Harlingen - Weslaco - Brownsville - McAllen, TX 0
## 103 Harlingen - Weslaco - Brownsville - McAllen, TX 0
## 104 Harlingen - Weslaco - Brownsville - McAllen, TX 0
## 105 Lincoln - Hastings - Kearney, NE 722
## 106 Lincoln - Hastings - Kearney, NE 0
## 107 Lincoln - Hastings - Kearney, NE 0
## 108 Lincoln - Hastings - Kearney, NE 0
## 109 Lincoln - Hastings - Kearney, NE 0
## 110 Lincoln - Hastings - Kearney, NE 0
## 111 Lincoln - Hastings - Kearney, NE 0
## 112 Lincoln - Hastings - Kearney, NE 0
## 113 Quincy, IL / Hannibal, MO / Keokuk, IA 717
## 114 Quincy, IL / Hannibal, MO / Keokuk, IA 0
## 115 Quincy, IL / Hannibal, MO / Keokuk, IA 0
## 116 Yakima - Pasco - Richland - Kennewick, WA 810
## 117 Yakima - Pasco - Richland - Kennewick, WA 0
## 118 Yakima - Pasco - Richland - Kennewick, WA 0
## 119 Salt Lake City, UT 770
## 120 Salt Lake City, UT 0
## 121 Salt Lake City, UT 0
## 122 Salt Lake City, UT 0
## 123 Chico-Redding 868
## 124 Chico-Redding 0
## 125 Spokane, WA 881
## 126 Spokane, WA 0
## 127 Spokane, WA 0
## 128 Eugene, OR 801
## 129 Eugene, OR 0
## 130 Eugene, OR 0
## 131 Sioux City, IA 624
## 132 Sioux City, IA 0
## 133 Sioux City, IA 0
## 134 Fresno - Visalia, CA 866
## 135 Fresno - Visalia, CA 0
## 136 Fresno - Visalia, CA 0
## 137 Fresno - Visalia, CA 0
## 138 Fresno - Visalia, CA 866
## 139 Fresno - Visalia, CA 0
## 140 Fresno - Visalia, CA 0
## 141 Fresno - Visalia, CA 0
## 142 Eugene, OR 801
## 143 Eugene, OR 0
## 144 Eugene, OR 0
## 145 Wichita - Hutchinson, KS 678
## 146 Wichita - Hutchinson, KS 0
## 147 Wichita - Hutchinson, KS 0
## 148 Wichita - Hutchinson, KS 0
## 149 San Antonio, TX 641
## 150 San Antonio, TX 0
## 151 San Antonio, TX 0
## 152 Salt Lake City, UT 770
## 153 Salt Lake City, UT 0
## 154 Reno, NV 811
## 155 Reno, NV 0
## 156 Reno, NV 0
## 157 Oklahoma City, OK 650
## 158 Oklahoma City, OK 0
## 159 Oklahoma City, OK 0
## 160 Wichita - Hutchinson, KS 678
## 161 Wichita - Hutchinson, KS 0
## 162 Wichita - Hutchinson, KS 0
## 163 Oklahoma City, OK 650
## 164 Oklahoma City, OK 0
## 165 Oklahoma City, OK 0
## 166 Seattle - Tacoma, WA 819
## 167 Seattle - Tacoma, WA 0
## 168 Seattle - Tacoma, WA 0
## 169 Yakima - Pasco - Richland - Kennewick, WA 810
## 170 Yakima - Pasco - Richland - Kennewick, WA 0
## 171 Yakima - Pasco - Richland - Kennewick, WA 0
## 172 Yakima - Pasco - Richland - Kennewick, WA 0
## 173 Eugene, OR 801
## 174 Eugene, OR 0
## 175 Eugene, OR 0
## 176 Sioux City, IA 624
## 177 Sioux City, IA 0
## 178 Sioux City, IA 0
## 179 Sioux City, IA 0
## 180 Omaha, NE 652
## 181 Omaha, NE 0
## 182 Omaha, NE 0
## 183 Sioux City, IA 624
## 184 Sioux City, IA 0
## 185 Sioux City, IA 0
## 186 Sioux City, IA 0
## 187 Columbia - Jefferson City, MO 604
## 188 Columbia - Jefferson City, MO 0
## 189 Columbia - Jefferson City, MO 0
## 190 Columbia - Jefferson City, MO 0
## 191 Chico-Redding 868
## 192 Chico-Redding 0
## 193 Chico-Redding 0
## 194 Chico-Redding 0
## 195 Reno, NV 811
## 196 Reno, NV 0
## 197 Reno, NV 0
## 198 Chico-Redding 868
## 199 Chico-Redding 0
## 200 Chico-Redding 0
## 201 Reno, NV 811
## 202 Reno, NV 0
## 203 Reno, NV 0
## 204 Wichita - Hutchinson, KS 678
## 205 Wichita - Hutchinson, KS 0
## 206 Wichita - Hutchinson, KS 0
## 207 Wichita - Hutchinson, KS 678
## 208 Wichita - Hutchinson, KS 0
## 209 Wichita - Hutchinson, KS 0
## 210 Corpus Christi, TX 600
## 211 Corpus Christi, TX 0
## 212 Corpus Christi, TX 0
## 213 Las Vegas, NV 839
## 214 Las Vegas, NV 0
## 215 Las Vegas, NV 0
## 216 Las Vegas, NV 0
## 217 Eugene, OR 801
## 218 Eugene, OR 0
## 219 Eugene, OR 0
## 220 Abilene-Sweetwater 662
## 221 Corpus Christi, TX 600
## 222 Tulsa, OK 671
## 223 Tulsa, OK 0
## 224 Tulsa, OK 0
## 225 Tulsa, OK 0
## 226 Medford - Klamath Falls, OR 813
## 227 Medford - Klamath Falls, OR 0
## 228 Medford - Klamath Falls, OR 0
## 229 Medford - Klamath Falls, OR 0
## 230 Butte-Bozeman 754
## 231 Butte-Bozeman 0
## 232 Butte-Bozeman 0
## 233 Ottumwa, IA / Kirksville, MO 631
## 234 Ottumwa, IA / Kirksville, MO 0
## 235 Ottumwa, IA / Kirksville, MO 0
## 236 San Angelo 661
## 237 San Angelo 0
## 238 San Angelo 0
## 239 Abilene-Sweetwater 662
## 240 Abilene-Sweetwater 0
## 241 Abilene-Sweetwater 0
## 242 Chico-Redding 868
## 243 Portland, OR 820
## 244 Portland, OR 0
## 245 Portland, OR 0
## 246 Portland, OR 820
## 247 Portland, OR 0
## 248 Portland, OR 0
## 249 Seattle - Tacoma, WA 819
## 250 Seattle - Tacoma, WA 0
## 251 Seattle - Tacoma, WA 0
## 252 Yakima - Pasco - Richland - Kennewick, WA 810
## 253 Yakima - Pasco - Richland - Kennewick, WA 0
## 254 Yakima - Pasco - Richland - Kennewick, WA 0
## 255 Yakima - Pasco - Richland - Kennewick, WA 0
## 256 Salt Lake City, UT 770
## 257 Salt Lake City, UT 0
## 258 Eugene, OR 801
## 259 Eugene, OR 0
## 260 Eugene, OR 0
## 261 Las Vegas, NV 839
## 262 Las Vegas, NV 0
## 263 Las Vegas, NV 0
## 264 Las Vegas, NV 0
## 265 Las Vegas, NV 0
## 266 Amarillo, TX 634
## 267 Amarillo, TX 0
## 268 Amarillo, TX 0
## 269 Amarillo, TX 0
## 270 Amarillo, TX 634
## 271 Amarillo, TX 0
## 272 Amarillo, TX 0
## 273 Amarillo, TX 0
## 274 Yakima - Pasco - Richland - Kennewick, WA 810
## 275 Yakima - Pasco - Richland - Kennewick, WA 0
## 276 Yakima - Pasco - Richland - Kennewick, WA 0
## 277 Yakima - Pasco - Richland - Kennewick, WA 0
## 278 Lincoln - Hastings - Kearney, NE 0
## 279 Lincoln - Hastings - Kearney, NE 0
## 280 Lincoln - Hastings - Kearney, NE 0
## 281 Lincoln - Hastings - Kearney, NE 0
## 282 Corpus Christi, TX 600
## 283 Omaha, NE 652
## 284 Omaha, NE 0
## 285 Omaha, NE 0
## 286 Omaha, NE 0
## 287 Boise, ID 757
## 288 Boise, ID 0
## 289 Boise, ID 0
## 290 Boise, ID 0
## 291 Boise, ID 0
## 292 Birmingham, AL 630
## 293 Birmingham, AL 0
## 294 Birmingham, AL 0
## 295 Birmingham, AL 0
## 296 Columbia, SC 546
## 297 Columbia, SC 0
## 298 Columbia, SC 0
## 299 Columbia, SC 0
## 300 Baltimore, MD 512
## 301 Baltimore, MD 0
## 302 Baltimore, MD 0
## 303 Baltimore, MD 0
## 304 Birmingham, AL 630
## 305 Birmingham, AL 0
## 306 Birmingham, AL 0
## 307 Birmingham, AL 0
## 308 Flint - Saginaw - Bay City, MI 513
## 309 Flint - Saginaw - Bay City, MI 0
## 310 Flint - Saginaw - Bay City, MI 0
## 311 Champaign - Springfield - Decatur, IL 648
## 312 Champaign - Springfield - Decatur, IL 0
## 313 Champaign - Springfield - Decatur, IL 0
## 314 Champaign - Springfield - Decatur, IL 648
## 315 Champaign - Springfield - Decatur, IL 0
## 316 Champaign - Springfield - Decatur, IL 0
## 317 Charleston - Huntington, WV 564
## 318 Charleston - Huntington, WV 0
## 319 Charleston - Huntington, WV 0
## 320 Charleston - Huntington, WV 0
## 321 Charleston, SC 519
## 322 Charleston, SC 0
## 323 Charleston, SC 0
## 324 Charleston, SC 0
## 325 Greenville-N.Bern-Washngtn 545
## 326 Greenville-N.Bern-Washngtn 0
## 327 Greenville-N.Bern-Washngtn 0
## 328 Greenville-N.Bern-Washngtn 0
## 329 Green Bay - Appleton, WI 658
## 330 Green Bay - Appleton, WI 658
## 331 Green Bay - Appleton, WI 0
## 332 Green Bay - Appleton, WI 0
## 333 Green Bay - Appleton, WI 0
## 334 Albany - Schenectady - Troy, NY 532
## 335 Albany - Schenectady - Troy, NY 0
## 336 Albany - Schenectady - Troy, NY 0
## 337 Albany - Schenectady - Troy, NY 0
## 338 Tri-Cities, TN-VA 531
## 339 Tri-Cities, TN-VA 0
## 340 Tri-Cities, TN-VA 0
## 341 Birmingham, AL 630
## 342 Birmingham, AL 0
## 343 Birmingham, AL 0
## 344 Mobile, AL / Pensacola, FL 686
## 345 Mobile, AL / Pensacola, FL 0
## 346 Mobile, AL / Pensacola, FL 0
## 347 Tri-Cities, TN-VA 531
## 348 Tri-Cities, TN-VA 0
## 349 Tri-Cities, TN-VA 0
## 350 Tri-Cities, TN-VA 0
## 351 Flint - Saginaw - Bay City, MI 513
## 352 Flint - Saginaw - Bay City, MI 0
## 353 Flint - Saginaw - Bay City, MI 0
## 354 Flint - Saginaw - Bay City, MI 0
## 355 Mobile, AL / Pensacola, FL 686
## 356 Mobile, AL / Pensacola, FL 0
## 357 Mobile, AL / Pensacola, FL 0
## 358 Chattanooga, TN 575
## 359 Chattanooga, TN 575
## 360 Chattanooga, TN 575
## 361 Chattanooga, TN 0
## 362 Albany, GA 525
## 363 Albany, GA 0
## 364 Albany, GA 0
## 365 Albany, GA 0
## 366 Gainesville, FL 592
## 367 Gainesville, FL 0
## 368 Gainesville, FL 0
## 369 Portland - Auburn, ME 500
## 370 Portland - Auburn, ME 0
## 371 Portland - Auburn, ME 0
## 372 Traverse City - Cadillac, MI 540
## 373 Traverse City - Cadillac, MI 0
## 374 Traverse City - Cadillac, MI 0
## 375 Traverse City - Cadillac, MI 540
## 376 Traverse City - Cadillac, MI 0
## 377 Macon, GA 503
## 378 Macon, GA 0
## 379 Macon, GA 0
## 380 Rochester, NY 538
## 381 Rochester, NY 0
## 382 Rochester, NY 0
## 383 Peoria - Bloomington, IL 675
## 384 Harrisburg - Lancaster - Lebanon - York, PA 566
## 385 Harrisburg - Lancaster - Lebanon - York, PA 0
## 386 Harrisburg - Lancaster - Lebanon - York, PA 0
## 387 Harrisburg - Lancaster - Lebanon - York, PA 0
## 388 Champaign - Springfield - Decatur, IL 648
## 389 Champaign - Springfield - Decatur, IL 0
## 390 Champaign - Springfield - Decatur, IL 0
## 391 Champaign - Springfield - Decatur, IL 0
## 392 Champaign - Springfield - Decatur, IL 648
## 393 Champaign - Springfield - Decatur, IL 0
## 394 Champaign - Springfield - Decatur, IL 0
## 395 Champaign - Springfield - Decatur, IL 0
## 396 Johnstown - Altoona, PA 574
## 397 Johnstown - Altoona, PA 0
## 398 Johnstown - Altoona, PA 0
## 399 Johnstown - Altoona, PA 0
## 400 Providence-New Bedford 521
## 401 Providence-New Bedford 0
## 402 Providence-New Bedford 0
## 403 Providence-New Bedford 0
## 404 Washington, DC 511
## 405 Washington, DC 0
## 406 Washington, DC 0
## 407 Washington, DC 0
## 408 Mobile, AL / Pensacola, FL 686
## 409 Mobile, AL / Pensacola, FL 0
## 410 Mobile, AL / Pensacola, FL 0
## 411 Dayton, OH 542
## 412 Dayton, OH 0
## 413 Dayton, OH 0
## 414 Dayton, OH 0
## 415 Cincinnati, OH 515
## 416 Cincinnati, OH 0
## 417 Cincinnati, OH 0
## 418 Raleigh - Durham, NC 560
## 419 Raleigh - Durham, NC 0
## 420 Raleigh - Durham, NC 0
## 421 Raleigh - Durham, NC 0
## 422 Greenville - Spartanburg, SC / Asheville, NC / Anderson, SC 567
## 423 Greenville - Spartanburg, SC / Asheville, NC / Anderson, SC 0
## 424 Greenville - Spartanburg, SC / Asheville, NC / Anderson, SC 0
## 425 Greenville - Spartanburg, SC / Asheville, NC / Anderson, SC 0
## 426 Green Bay - Appleton, WI 658
## 427 Green Bay - Appleton, WI 0
## 428 Green Bay - Appleton, WI 0
## 429 Madison, WI 669
## 430 Madison, WI 0
## 431 Madison, WI 0
## 432 Madison, WI 0
## 433 Greenville - Spartanburg, SC / Asheville, NC / Anderson, SC 567
## 434 Greenville - Spartanburg, SC / Asheville, NC / Anderson, SC 0
## 435 Greenville - Spartanburg, SC / Asheville, NC / Anderson, SC 0
## 436 Greenville - Spartanburg, SC / Asheville, NC / Anderson, SC 0
## 437 Greenville - Spartanburg, SC / Asheville, NC / Anderson, SC 0
## 438 Greensboro - High Point - Winston Salem, NC 518
## 439 Greensboro - High Point - Winston Salem, NC 0
## 440 Greensboro - High Point - Winston Salem, NC 0
## 441 Nashville, TN 659
## 442 Nashville, TN 0
## 443 Nashville, TN 0
## 444 Nashville, TN 0
## 445 Gainesville, FL 592
## 446 Gainesville, FL 0
## 447 Gainesville, FL 0
## 448 Gainesville, FL 0
## 449 Baltimore, MD 512
## 450 Baltimore, MD 0
## 451 Baltimore, MD 0
## 452 Baltimore, MD 0
## 453 Toledo, OH 547
## 454 Toledo, OH 0
## 455 Toledo, OH 0
## 456 Toledo, OH 0
## 457 Buffalo, NY 514
## 458 Buffalo, NY 0
## 459 Buffalo, NY 0
## 460 Buffalo, NY 0
## 461 San Antonio, TX 641
## 462 San Antonio, TX 0
## 463 San Antonio, TX 0
## 464 Wilkes Barre - Scranton, PA 577
## 465 Wilkes Barre - Scranton, PA 0
## 466 Wilkes Barre - Scranton, PA 0
## 467 Traverse City - Cadillac, MI 540
## 468 Traverse City - Cadillac, MI 0
## 469 Traverse City - Cadillac, MI 0
## 470 Florence - Myrtle Beach, SC 570
## 471 Florence - Myrtle Beach, SC 0
## 472 Florence - Myrtle Beach, SC 0
## 473 Florence - Myrtle Beach, SC 0
## 474 Florence - Myrtle Beach, SC 0
## 475 West Palm Beach - Fort Pierce, FL 548
## 476 West Palm Beach - Fort Pierce, FL 0
## 477 West Palm Beach - Fort Pierce, FL 0
## 478 Portland - Auburn, ME 500
## 479 Portland - Auburn, ME 0
## 480 Portland - Auburn, ME 0
## 481 Portland - Auburn, ME 0
## 482 Pittsburgh, PA 508
## 483 Pittsburgh, PA 0
## 484 Pittsburgh, PA 0
## 485 Mobile, AL / Pensacola, FL 686
## 486 Mobile, AL / Pensacola, FL 0
## 487 Mobile, AL / Pensacola, FL 0
## 488 Pittsburgh, PA 508
## 489 Pittsburgh, PA 0
## 490 Pittsburgh, PA 0
## 491 Pittsburgh, PA 0
## 492 Wilkes Barre - Scranton, PA 577
## 493 Wilkes Barre - Scranton, PA 0
## 494 Wilkes Barre - Scranton, PA 0
## 495 Raleigh - Durham, NC 560
## 496 Raleigh - Durham, NC 0
## 497 Raleigh - Durham, NC 0
## 498 Albany - Schenectady - Troy, NY 532
## 499 Albany - Schenectady - Troy, NY 0
## 500 Albany - Schenectady - Troy, NY 0
## 501 Dayton, OH 542
## 502 Dayton, OH 0
## 503 Dayton, OH 0
## 504 Dayton, OH 0
## 505 Richmond - Petersburg, VA 556
## 506 Richmond - Petersburg, VA 0
## 507 Richmond - Petersburg, VA 0
## 508 Richmond - Petersburg, VA 0
## 509 Richmond - Petersburg, VA 0
## 510 Champaign - Springfield - Decatur, IL 648
## 511 Champaign - Springfield - Decatur, IL 0
## 512 Champaign - Springfield - Decatur, IL 0
## 513 South Bend - Elkhart, IN 588
## 514 South Bend - Elkhart, IN 0
## 515 Roanoke - Lynchburg, VA 573
## 516 Roanoke - Lynchburg, VA 0
## 517 Roanoke - Lynchburg, VA 0
## 518 Roanoke - Lynchburg, VA 0
## 519 Flint - Saginaw - Bay City, MI 513
## 520 Flint - Saginaw - Bay City, MI 0
## 521 Flint - Saginaw - Bay City, MI 0
## 522 Flint - Saginaw - Bay City, MI 0
## 523 Syracuse, NY 555
## 524 Syracuse, NY 0
## 525 Syracuse, NY 0
## 526 Syracuse, NY 555
## 527 Cincinnati, OH 515
## 528 Cincinnati, OH 0
## 529 Cincinnati, OH 0
## 530 Cincinnati, OH 0
## 531 Wilkes Barre - Scranton, PA 577
## 532 Wilkes Barre - Scranton, PA 0
## 533 Wilkes Barre - Scranton, PA 0
## 534 Wilkes Barre - Scranton, PA 0
## 535 Columbus, OH 535
## 536 Columbus, OH 0
## 537 Columbus, OH 0
## 538 West Palm Beach - Fort Pierce, FL 548
## 539 West Palm Beach - Fort Pierce, FL 0
## 540 West Palm Beach - Fort Pierce, FL 0
## 541 West Palm Beach - Fort Pierce, FL 0
## 542 Savannah 507
## 543 Savannah 507
## 544 Savannah 507
## 545 Savannah 0
## 546 Tallahassee, FL - Thomasville, GA 530
## 547 Tallahassee, FL - Thomasville, GA 0
## 548 Tallahassee, FL - Thomasville, GA 0
## 549 Tallahassee, FL - Thomasville, GA 0
## 550 Tallahassee, FL - Thomasville, GA 0
## 551 Traverse City - Cadillac, MI 540
## 552 Traverse City - Cadillac, MI 0
## 553 Traverse City - Cadillac, MI 0
## 554 Wheeling, WV - Steubenville, OH 554
## 555 Wheeling, WV - Steubenville, OH 0
## 556 Wheeling, WV - Steubenville, OH 0
## 557 Columbus, OH 535
## 558 Columbus, OH 0
## 559 Columbus, OH 0
## 560 Birmingham, AL 630
## 561 Birmingham, AL 0
## 562 Birmingham, AL 0
## 563 Birmingham, AL 0
## 564 Chattanooga, TN 575
## 565 Chattanooga, TN 0
## 566 Chattanooga, TN 0
## 567 Syracuse, NY 555
## 568 Syracuse, NY 0
## 569 Syracuse, NY 0
## 570 West Palm Beach - Fort Pierce, FL 548
## 571 West Palm Beach - Fort Pierce, FL 0
## 572 West Palm Beach - Fort Pierce, FL 0
## 573 Norfolk - Portsmouth - Newport News, VA 544
## 574 Norfolk - Portsmouth - Newport News, VA 0
## 575 Norfolk - Portsmouth - Newport News, VA 0
## 576 Norfolk - Portsmouth - Newport News, VA 0
## 577 Tallahassee, FL - Thomasville, GA 530
## 578 Tallahassee, FL - Thomasville, GA 0
## 579 Tallahassee, FL - Thomasville, GA 0
## 580 Minneapolis, MN 613
## 581 Minneapolis, MN 0
## 582 Minneapolis, MN 0
## 583 Minneapolis, MN 0
## 584 Rochester, NY 538
## 585 Rochester, NY 0
## 586 Rochester, NY 0
## 587 Rochester, NY 0
## 588 Baltimore, MD 512
## 589 Baltimore, MD 0
## 590 Baltimore, MD 0
## 591 Baltimore, MD 0
## 592 Buffalo, NY 514
## 593 Buffalo, NY 0
## 594 Buffalo, NY 0
## 595 Nashville, TN 659
## 596 Nashville, TN 0
## 597 Nashville, TN 0
## 598 Charleston - Huntington, WV 564
## 599 Charleston - Huntington, WV 0
## 600 Charleston - Huntington, WV 0
## 601 Milwaukee, WI 617
## 602 Milwaukee, WI 0
## 603 Milwaukee, WI 0
## 604 West Palm Beach - Fort Pierce, FL 548
## 605 West Palm Beach - Fort Pierce, FL 0
## 606 West Palm Beach - Fort Pierce, FL 0
## 607 Columbus, OH 535
## 608 Columbus, OH 0
## 609 Columbus, OH 0
## 610 Florence - Myrtle Beach, SC 570
## 611 Florence - Myrtle Beach, SC 0
## 612 Florence - Myrtle Beach, SC 0
## 613 Florence - Myrtle Beach, SC 0
## 614 Grand Rapids - Kalamazoo - Battle Creek, MI 563
## 615 Grand Rapids - Kalamazoo - Battle Creek, MI 0
## 616 Grand Rapids - Kalamazoo - Battle Creek, MI 0
## 617 Greensboro - High Point - Winston Salem, NC 518
## 618 Greensboro - High Point - Winston Salem, NC 0
## 619 Greensboro - High Point - Winston Salem, NC 0
## 620 Greensboro - High Point - Winston Salem, NC 0
## 621 Greenville-N.Bern-Washngtn 545
## 622 Greenville-N.Bern-Washngtn 0
## 623 Greenville-N.Bern-Washngtn 0
## 624 Greenville-N.Bern-Washngtn 0
## 625 Gainesville, FL 592
## 626 Nashville, TN 659
## 627 Nashville, TN 0
## 628 Nashville, TN 0
## DMA_Short DMA_Rank Station_Status
## 1 Wichita_KS 72 O&O
## 2 Wichita_KS 72 O&O
## 3 Wichita_KS 72 O&O
## 4 Wichita_KS 72 O&O
## 5 Wichita_KS 72 O&O
## 6 Wichita_KS 72 O&O
## 7 San Antonio_TX 31 O&O
## 8 San Antonio_TX 31 O&O
## 9 San Antonio_TX 31 O&O
## 10 Eureka_CA 197 O&O
## 11 Eureka_CA 197 O&O
## 12 Eureka_CA 197 O&O
## 13 Portland_OR 22 O&O
## 14 Portland_OR 22 O&O
## 15 Portland_OR 22 O&O
## 16 Portland_OR 22 O&O
## 17 Little Rock_AR 62 O&O
## 18 Little Rock_AR 62 O&O
## 19 Little Rock_AR 62 O&O
## 20 Little Rock_AR 62 O&O
## 21 Bakersfield_CA 125 O&O
## 22 Bakersfield_CA 125 O&O
## 23 Bakersfield_CA 125 O&O
## 24 Bakersfield_CA 125 O&O
## 25 Bakersfield_CA 125 O&O
## 26 Bakersfield_CA 125 O&O
## 27 Bakersfield_CA 125 O&O
## 28 Bakersfield_CA 125 O&O
## 29 Boise_ID 102 O&O
## 30 Boise_ID 102 O&O
## 31 Boise_ID 102 O&O
## 32 Beaumont_TX 143 JSA
## 33 Beaumont_TX 143 JSA
## 34 Beaumont_TX 143 JSA
## 35 Beaumont_TX 143 JSA
## 36 Beaumont_TX 143
## 37 Sioux City_IA 148 O&O
## 38 Sioux City_IA 148 O&O
## 39 Sioux City_IA 148 O&O
## 40 Sioux City_IA 148 O&O
## 41 Eureka_CA 197 JSA
## 42 Eureka_CA 197 JSA
## 43 Eureka_CA 197 JSA
## 44 Eureka_CA 197 JSA
## 45 Eugene_OR 117 O&O
## 46 Eugene_OR 117 O&O
## 47 Eugene_OR 117 O&O
## 48 Missoula_MT 163 O&O
## 49 Missoula_MT 163 O&O
## 50 Missoula_MT 163 O&O
## 51 Chico_CA 131 JSA
## 52 Chico_CA 131 JSA
## 53 Chico_CA 131 JSA
## 54 Chico_CA 131 JSA
## 55 Chico_CA 131
## 56 El Paso_TX 93 O&O
## 57 El Paso_TX 93 O&O
## 58 El Paso_TX 93 O&O
## 59 Bozeman_MT 186 O&O
## 60 Bozeman_MT 186 O&O
## 61 Bozeman_MT 186 O&O
## 62 St. Louis_MO 23 O&O
## 63 St. Louis_MO 23 O&O
## 64 St. Louis_MO 23 O&O
## 65 St. Louis_MO 23 O&O
## 66 Des Moines_IA 68 O&O
## 67 Des Moines_IA 68 O&O
## 68 Des Moines_IA 68 O&O
## 69 Des Moines_IA 68 O&O
## 70 Eureka_CA 197 O&O
## 71 Eureka_CA 197 O&O
## 72 Missoula_MT 163 O&O
## 73 Missoula_MT 163 O&O
## 74 Missoula_MT 163 O&O
## 75 Salt Lake City_UT 30 JSA
## 76 Yakima_WA 118 O&O
## 77 Yakima_WA 118 O&O
## 78 Yakima_WA 118 O&O
## 79 Eureka_CA 197 O&O
## 80 Austin_TX 40 O&O
## 81 Austin_TX 40 O&O
## 82 Beaumont_TX 143 O&O
## 83 Beaumont_TX 143 O&O
## 84 Beaumont_TX 143 O&O
## 85 El Paso_TX 93 O&O
## 86 El Paso_TX 93 O&O
## 87 El Paso_TX 93 O&O
## 88 El Paso_TX 93 O&O
## 89 Fresno_CA 55 O&O
## 90 Fresno_CA 55 O&O
## 91 Fresno_CA 55 O&O
## 92 Fresno_CA 55 O&O
## 93 Cedar Rapids_IA 90 OSA
## 94 Cedar Rapids_IA 90 OSA
## 95 Cedar Rapids_IA 90 OSA
## 96 Cedar Rapids_IA 90 OSA
## 97 Lincoln_NE 107 O&O
## 98 Cedar Rapids_IA 90 O&O
## 99 Cedar Rapids_IA 90 O&O
## 100 Cedar Rapids_IA 90 O&O
## 101 Cedar Rapids_IA 90 O&O
## 102 Harlingen_TX 83 O&O
## 103 Harlingen_TX 83 O&O
## 104 Harlingen_TX 83 O&O
## 105 Lincoln_NE 107 O&O
## 106 Lincoln_NE 107 O&O
## 107 Lincoln_NE 107 O&O
## 108 Lincoln_NE 107 O&O
## 109 Lincoln_NE 107 O&O
## 110 Lincoln_NE 107 O&O
## 111 Lincoln_NE 107 O&O
## 112 Lincoln_NE 107 O&O
## 113 Quincy_IL 174 O&O
## 114 Quincy_IL 174 O&O
## 115 Quincy_IL 174 O&O
## 116 Yakima_WA 118 O&O
## 117 Yakima_WA 118 O&O
## 118 Yakima_WA 118 O&O
## 119 Salt Lake City_UT 30 O&O
## 120 Salt Lake City_UT 30 O&O
## 121 Salt Lake City_UT 30 O&O
## 122 Salt Lake City_UT 30 O&O
## 123 Chico_CA 131 O&O
## 124 Chico_CA 131 O&O
## 125 Spokane_WA 70 O&O
## 126 Spokane_WA 70 O&O
## 127 Spokane_WA 70 O&O
## 128 Eugene_OR 117 JSA
## 129 Eugene_OR 117 JSA
## 130 Eugene_OR 117 JSA
## 131 Sioux City_IA 148 JSA
## 132 Sioux City_IA 148 JSA
## 133 Sioux City_IA 148 JSA
## 134 Fresno_CA 55 O&O
## 135 Fresno_CA 55 O&O
## 136 Fresno_CA 55 O&O
## 137 Fresno_CA 55 O&O
## 138 Fresno_CA 55 O&O
## 139 Fresno_CA 55 O&O
## 140 Fresno_CA 55 O&O
## 141 Fresno_CA 55 O&O
## 142 Eugene_OR 117 JSA
## 143 Eugene_OR 117 JSA
## 144 Eugene_OR 117 JSA
## 145 Wichita_KS 72 LMA
## 146 Wichita_KS 72 LMA
## 147 Wichita_KS 72 LMA
## 148 Wichita_KS 72 LMA
## 149 San Antonio_TX 31 JSA
## 150 San Antonio_TX 31 JSA
## 151 San Antonio_TX 31 JSA
## 152 Salt Lake City_UT 30 O&O
## 153 Salt Lake City_UT 30 O&O
## 154 Reno_NV 104 LMA
## 155 Reno_NV 104 LMA
## 156 Reno_NV 104 LMA
## 157 Oklahoma City_OK 43 O&O
## 158 Oklahoma City_OK 43 O&O
## 159 Oklahoma City_OK 43 O&O
## 160 Wichita_KS 72 O&O
## 161 Wichita_KS 72 O&O
## 162 Wichita_KS 72 O&O
## 163 Oklahoma City_OK 43 O&O
## 164 Oklahoma City_OK 43 O&O
## 165 Oklahoma City_OK 43 O&O
## 166 Seattle_WA 13 O&O
## 167 Seattle_WA 13 O&O
## 168 Seattle_WA 13 O&O
## 169 Yakima_WA 118 O&O
## 170 Yakima_WA 118 O&O
## 171 Yakima_WA 118 O&O
## 172 Yakima_WA 118 O&O
## 173 Eugene_OR 117 O&O
## 174 Eugene_OR 117 O&O
## 175 Eugene_OR 117 O&O
## 176 Sioux City_IA 148 O&O
## 177 Sioux City_IA 148 O&O
## 178 Sioux City_IA 148 O&O
## 179 Sioux City_IA 148 O&O
## 180 Omaha_NE 71 O&O
## 181 Omaha_NE 71 O&O
## 182 Omaha_NE 71 O&O
## 183 Sioux City_IA 148 O&O
## 184 Sioux City_IA 148 O&O
## 185 Sioux City_IA 148 O&O
## 186 Sioux City_IA 148 O&O
## 187 Columbia_MO 137 O&O
## 188 Columbia_MO 137 O&O
## 189 Columbia_MO 137 O&O
## 190 Columbia_MO 137 O&O
## 191 Chico_CA 131 O&O
## 192 Chico_CA 131 O&O
## 193 Chico_CA 131 O&O
## 194 Chico_CA 131 O&O
## 195 Reno_NV 104 JSA
## 196 Reno_NV 104 JSA
## 197 Reno_NV 104 JSA
## 198 Chico_CA 131 O&O
## 199 Chico_CA 131 O&O
## 200 Chico_CA 131 O&O
## 201 Reno_NV 104 O&O
## 202 Reno_NV 104 O&O
## 203 Reno_NV 104 O&O
## 204 Wichita_KS 72 O&O
## 205 Wichita_KS 72 O&O
## 206 Wichita_KS 72 O&O
## 207 Wichita_KS 72 O&O
## 208 Wichita_KS 72 O&O
## 209 Wichita_KS 72 O&O
## 210 Corpus Christi_TX 128 O&O
## 211 Corpus Christi_TX 128 O&O
## 212 Corpus Christi_TX 128 O&O
## 213 Las Vegas_NV 39 O&O
## 214 Las Vegas_NV 39 O&O
## 215 Las Vegas_NV 39 O&O
## 216 Las Vegas_NV 39 O&O
## 217 Eugene_OR 117 JSA
## 218 Eugene_OR 117 JSA
## 219 Eugene_OR 117 JSA
## 220 Abilene_TX 164 O&O
## 221 Corpus Christi_TX 128 O&O
## 222 Tulsa_OK 58 O&O
## 223 Tulsa_OK 58 O&O
## 224 Tulsa_OK 58 O&O
## 225 Tulsa_OK 58 O&O
## 226 Medford_OR 135 O&O
## 227 Medford_OR 135 O&O
## 228 Medford_OR 135 O&O
## 229 Medford_OR 135 O&O
## 230 Bozeman_MT 186 O&O
## 231 Bozeman_MT 186 O&O
## 232 Bozeman_MT 186 O&O
## 233 Ottumwa_IA 201 O&O
## 234 Ottumwa_IA 201 O&O
## 235 Ottumwa_IA 201 O&O
## 236 San Angelo_TX 195 O&O
## 237 San Angelo_TX 195 O&O
## 238 San Angelo_TX 195 O&O
## 239 Abilene_TX 164 O&O
## 240 Abilene_TX 164 O&O
## 241 Abilene_TX 164 O&O
## 242 Chico_CA 131 O&O
## 243 Portland_OR 22 O&O
## 244 Portland_OR 22 O&O
## 245 Portland_OR 22 O&O
## 246 Portland_OR 22 O&O
## 247 Portland_OR 22 O&O
## 248 Portland_OR 22 O&O
## 249 Seattle_WA 13 O&O
## 250 Seattle_WA 13 O&O
## 251 Seattle_WA 13 O&O
## 252 Yakima_WA 118 O&O
## 253 Yakima_WA 118 O&O
## 254 Yakima_WA 118 O&O
## 255 Yakima_WA 118 O&O
## 256 Salt Lake City_UT 30 O&O
## 257 Salt Lake City_UT 30 O&O
## 258 Eugene_OR 117 O&O
## 259 Eugene_OR 117 O&O
## 260 Eugene_OR 117 O&O
## 261 Las Vegas_NV 39 O&O
## 262 Las Vegas_NV 39 O&O
## 263 Las Vegas_NV 39 O&O
## 264 Las Vegas_NV 39 O&O
## 265 Las Vegas_NV 0
## 266 Amarillo_TX 132 O&O
## 267 Amarillo_TX 132 O&O
## 268 Amarillo_TX 132 O&O
## 269 Amarillo_TX 132 O&O
## 270 Amarillo_TX 132 O&O
## 271 Amarillo_TX 132 O&O
## 272 Amarillo_TX 132 O&O
## 273 Amarillo_TX 132 O&O
## 274 Yakima_WA 118 O&O
## 275 Yakima_WA 118 O&O
## 276 Yakima_WA 118 O&O
## 277 Yakima_WA 118 O&O
## 278 Lincoln_NE 107 O&O
## 279 Lincoln_NE 107 O&O
## 280 Lincoln_NE 107 O&O
## 281 Lincoln_NE 107 O&O
## 282 Corpus Christi_TX 128 O&O
## 283 Omaha_NE 71 LMA
## 284 Omaha_NE 71 LMA
## 285 Omaha_NE 71 LMA
## 286 Omaha_NE 71 LMA
## 287 Boise_ID 102 O&O
## 288 Boise_ID 102 O&O
## 289 Boise_ID 102 O&O
## 290 Boise_ID 102 O&O
## 291 Boise_ID 102
## 292 Birmingham_AL 44 O&O
## 293 Birmingham_AL 44 O&O
## 294 Birmingham_AL 44 O&O
## 295 Birmingham_AL 44 O&O
## 296 Columbia_SC 75 O&O
## 297 Columbia_SC 75 O&O
## 298 Columbia_SC 75 O&O
## 299 Columbia_SC 75 O&O
## 300 Baltimore_MD 26 O&O
## 301 Baltimore_MD 26 O&O
## 302 Baltimore_MD 26 O&O
## 303 Baltimore_MD 26 O&O
## 304 Birmingham_AL 44 O&O
## 305 Birmingham_AL 44 O&O
## 306 Birmingham_AL 44 O&O
## 307 Birmingham_AL 44 O&O
## 308 Flint_MI 77 JSA
## 309 Flint_MI 77 JSA
## 310 Flint_MI 77 JSA
## 311 Champaign_IL 88 JSA
## 312 Champaign_IL 88 JSA
## 313 Champaign_IL 88 JSA
## 314 Champaign_IL 88 JSA
## 315 Champaign_IL 88 JSA
## 316 Champaign_IL 88 JSA
## 317 Charleston_WV 74 O&O
## 318 Charleston_WV 74 O&O
## 319 Charleston_WV 74 O&O
## 320 Charleston_WV 74 O&O
## 321 Charleston_SC 91 O&O
## 322 Charleston_SC 91 O&O
## 323 Charleston_SC 91 O&O
## 324 Charleston_SC 91 O&O
## 325 Eastern_NC 100 O&O
## 326 Eastern_NC 100 O&O
## 327 Eastern_NC 100 O&O
## 328 Eastern_NC 100 O&O
## 329 Green Bay_WI 67 O&O
## 330 Green Bay_WI 67 O&O
## 331 Green Bay_WI 67 O&O
## 332 Green Bay_WI 67 O&O
## 333 Green Bay_WI 67 O&O
## 334 Albany_NY 59 O&O
## 335 Albany_NY 59 O&O
## 336 Albany_NY 59 O&O
## 337 Albany_NY 59 O&O
## 338 Tri-Cities_TN 99 O&O
## 339 Tri-Cities_TN 99 O&O
## 340 Tri-Cities_TN 99 O&O
## 341 Birmingham_AL 44 LMA
## 342 Birmingham_AL 44 LMA
## 343 Birmingham_AL 44 LMA
## 344 Mobile_AL 57 O&O
## 345 Mobile_AL 57 O&O
## 346 Mobile_AL 57 O&O
## 347 Tri-Cities_TN 99 JSA
## 348 Tri-Cities_TN 99 JSA
## 349 Tri-Cities_TN 99 JSA
## 350 Tri-Cities_TN 99 JSA
## 351 Flint_MI 77 JSA
## 352 Flint_MI 77 JSA
## 353 Flint_MI 77 JSA
## 354 Flint_MI 77 JSA
## 355 Mobile_AL 57 O&O
## 356 Mobile_AL 57 O&O
## 357 Mobile_AL 57 O&O
## 358 Chattanooga_TN 92 JSA
## 359 Chattanooga_TN 92 JSA
## 360 Chattanooga_TN 92 JSA
## 361 Chattanooga_TN 92 JSA
## 362 Albany_GA 154 O&O
## 363 Albany_GA 154 O&O
## 364 Albany_GA 154 O&O
## 365 Albany_GA 154 O&O
## 366 Gainesville_FL 156 MSA
## 367 Gainesville_FL 156 MSA
## 368 Gainesville_FL 156 MSA
## 369 Portland_ME 79 O&O
## 370 Portland_ME 79 O&O
## 371 Portland_ME 79 O&O
## 372 Traverse City_MI 121 JSA
## 373 Traverse City_MI 121 JSA
## 374 Traverse City_MI 121 JSA
## 375 Traverse City_MI 121 JSA
## 376 Traverse City_MI 121 JSA
## 377 Macon_GA 119 O&O
## 378 Macon_GA 119 O&O
## 379 Macon_GA 119 O&O
## 380 Rochester_NY 76 JSA
## 381 Rochester_NY 76 JSA
## 382 Rochester_NY 76 JSA
## 383 Peoria_IL 120 O&O/OSA
## 384 Harrisburg_PA 47 O&O
## 385 Harrisburg_PA 47 O&O
## 386 Harrisburg_PA 47 O&O
## 387 Harrisburg_PA 47 O&O
## 388 Champaign_IL 88 O&O
## 389 Champaign_IL 88 O&O
## 390 Champaign_IL 88 O&O
## 391 Champaign_IL 88 O&O
## 392 Champaign_IL 88 O&O
## 393 Champaign_IL 88 O&O
## 394 Champaign_IL 88 O&O
## 395 Champaign_IL 88 O&O
## 396 Johnstown_PA 106 O&O
## 397 Johnstown_PA 106 O&O
## 398 Johnstown_PA 106 O&O
## 399 Johnstown_PA 106 O&O
## 400 Providence_RI 56 O&O
## 401 Providence_RI 56 O&O
## 402 Providence_RI 56 O&O
## 403 Providence_RI 56 O&O
## 404 Washington_DC 7 O&O
## 405 Washington_DC 7 O&O
## 406 Washington_DC 7 O&O
## 407 Washington_DC 7 O&O
## 408 Mobile_AL 57 JSA
## 409 Mobile_AL 57 JSA
## 410 Mobile_AL 57 JSA
## 411 Dayton_OH 63 O&O
## 412 Dayton_OH 63 O&O
## 413 Dayton_OH 63 O&O
## 414 Dayton_OH 63 O&O
## 415 Cincinnati_OH 37 O&O
## 416 Cincinnati_OH 37 O&O
## 417 Cincinnati_OH 37 O&O
## 418 Raleigh-Durham_NC 27 O&O
## 419 Raleigh-Durham_NC 27 O&O
## 420 Raleigh-Durham_NC 27 O&O
## 421 Raleigh-Durham_NC 27 O&O
## 422 Greenville_SC 38 O&O
## 423 Greenville_SC 38 O&O
## 424 Greenville_SC 38 O&O
## 425 Greenville_SC 38 O&O
## 426 Green Bay_WI 67 O&O
## 427 Green Bay_WI 67 O&O
## 428 Green Bay_WI 67 O&O
## 429 Madison_WI 81 O&O
## 430 Madison_WI 81 O&O
## 431 Madison_WI 81 O&O
## 432 Madison_WI 81 O&O
## 433 Greenville_SC 38 LMA
## 434 Greenville_SC 38 LMA
## 435 Greenville_SC 38 LMA
## 436 Greenville_SC 38 LMA
## 437 Greenville_SC 38
## 438 Greensboro_NC 49 O&O
## 439 Greensboro_NC 49 O&O
## 440 Greensboro_NC 49 O&O
## 441 Nashville_TN 28 OSA
## 442 Nashville_TN 28 OSA
## 443 Nashville_TN 28 OSA
## 444 Nashville_TN 28 OSA
## 445 Gainesville_FL 156 MSA
## 446 Gainesville_FL 156 MSA
## 447 Gainesville_FL 156 MSA
## 448 Gainesville_FL 156 MSA
## 449 Baltimore_MD 26 LMA
## 450 Baltimore_MD 26 LMA
## 451 Baltimore_MD 26 LMA
## 452 Baltimore_MD 26 LMA
## 453 Toledo_OH 80 O&O
## 454 Toledo_OH 80 O&O
## 455 Toledo_OH 80 O&O
## 456 Toledo_OH 80 O&O
## 457 Buffalo_NY 52 O&O
## 458 Buffalo_NY 52 O&O
## 459 Buffalo_NY 52 O&O
## 460 Buffalo_NY 52 O&O
## 461 San Antonio_TX 31 O&O
## 462 San Antonio_TX 31 O&O
## 463 San Antonio_TX 31 O&O
## 464 Wilkes Barre_PA 60 MSA
## 465 Wilkes Barre_PA 60 MSA
## 466 Wilkes Barre_PA 60 MSA
## 467 Traverse City_MI 121 O&O
## 468 Traverse City_MI 121 O&O
## 469 Traverse City_MI 121 O&O
## 470 Myrtle Beach_SC 97 O&O
## 471 Myrtle Beach_SC 97 O&O
## 472 Myrtle Beach_SC 97 O&O
## 473 Myrtle Beach_SC 97 O&O
## 474 Myrtle Beach_SC 97
## 475 West Palm_FL 36 O&O
## 476 West Palm_FL 36 O&O
## 477 West Palm_FL 36 O&O
## 478 Portland_ME 79 JSA
## 479 Portland_ME 79 JSA
## 480 Portland_ME 79 JSA
## 481 Portland_ME 79 JSA
## 482 Pittsburgh_PA 24 O&O
## 483 Pittsburgh_PA 24 O&O
## 484 Pittsburgh_PA 24 O&O
## 485 Mobile_AL 57 JSA
## 486 Mobile_AL 57 JSA
## 487 Mobile_AL 57 JSA
## 488 Pittsburgh_PA 24 O&O
## 489 Pittsburgh_PA 24 O&O
## 490 Pittsburgh_PA 24 O&O
## 491 Pittsburgh_PA 24 O&O
## 492 Wilkes Barre_PA 60 MSA
## 493 Wilkes Barre_PA 60 MSA
## 494 Wilkes Barre_PA 60 MSA
## 495 Raleigh-Durham_NC 27 O&O
## 496 Raleigh-Durham_NC 27 O&O
## 497 Raleigh-Durham_NC 27 O&O
## 498 Albany_NY 59 O&O
## 499 Albany_NY 59 O&O
## 500 Albany_NY 59 O&O
## 501 Dayton_OH 63 JSA
## 502 Dayton_OH 63 JSA
## 503 Dayton_OH 63 JSA
## 504 Dayton_OH 63 JSA
## 505 Richmond_VA 54 O&O
## 506 Richmond_VA 54 O&O
## 507 Richmond_VA 54 O&O
## 508 Richmond_VA 54 O&O
## 509 Richmond_VA 54
## 510 Champaign_IL 88 JSA
## 511 Champaign_IL 88 JSA
## 512 Champaign_IL 88 JSA
## 513 South Bend_IN 98 O&O
## 514 South Bend_IN 98 O&O
## 515 Roanoke_VA 69 O&O
## 516 Roanoke_VA 69 O&O
## 517 Roanoke_VA 69 O&O
## 518 Roanoke_VA 69 O&O
## 519 Flint_MI 77 O&O
## 520 Flint_MI 77 O&O
## 521 Flint_MI 77 O&O
## 522 Flint_MI 77 O&O
## 523 Syracuse_NY 87 O&O
## 524 Syracuse_NY 87 O&O
## 525 Syracuse_NY 87 O&O
## 526 Syracuse_NY 87 O&O
## 527 Cincinnati_OH 37 JSA
## 528 Cincinnati_OH 37 JSA
## 529 Cincinnati_OH 37 JSA
## 530 Cincinnati_OH 37 JSA
## 531 Wilkes Barre_PA 60 JSA
## 532 Wilkes Barre_PA 60 JSA
## 533 Wilkes Barre_PA 60 JSA
## 534 Wilkes Barre_PA 60 JSA
## 535 Columbus_OH 34 O&O
## 536 Columbus_OH 34 O&O
## 537 Columbus_OH 34 O&O
## 538 West Palm_FL 36 O&O
## 539 West Palm_FL 36 O&O
## 540 West Palm_FL 36 O&O
## 541 West Palm_FL 36 O&O
## 542 Savannah_GA 89 O&O
## 543 Savannah_GA 89 O&O
## 544 Savannah_GA 89 O&O
## 545 Savannah_GA 89 O&O
## 546 Tallahassee_FL 109 JSA
## 547 Tallahassee_FL 109 JSA
## 548 Tallahassee_FL 109 JSA
## 549 Tallahassee_FL 109 JSA
## 550 Tallahassee_FL 109
## 551 Traverse City_MI 121 O&O
## 552 Traverse City_MI 121 O&O
## 553 Traverse City_MI 121 O&O
## 554 Wheeling_WV 157 O&O
## 555 Wheeling_WV 157 O&O
## 556 Wheeling_WV 157 O&O
## 557 Columbus_OH 34 LMA
## 558 Columbus_OH 34 LMA
## 559 Columbus_OH 34 LMA
## 560 Birmingham_AL 44 O&O
## 561 Birmingham_AL 44 O&O
## 562 Birmingham_AL 44 O&O
## 563 Birmingham_AL 44 O&O
## 564 Chattanooga_TN 92 O&O
## 565 Chattanooga_TN 92 O&O
## 566 Chattanooga_TN 92 O&O
## 567 Syracuse_NY 87 JSA
## 568 Syracuse_NY 87 JSA
## 569 Syracuse_NY 87 JSA
## 570 West Palm_FL 36 O&O
## 571 West Palm_FL 36 O&O
## 572 West Palm_FL 36 O&O
## 573 Norfolk_VA 42 O&O
## 574 Norfolk_VA 42 O&O
## 575 Norfolk_VA 42 O&O
## 576 Norfolk_VA 42 O&O
## 577 Tallahassee_FL 109 O&O
## 578 Tallahassee_FL 109 O&O
## 579 Tallahassee_FL 109 O&O
## 580 Minneapolis_MN 15 O&O
## 581 Minneapolis_MN 15 O&O
## 582 Minneapolis_MN 15 O&O
## 583 Minneapolis_MN 15 O&O
## 584 Rochester_NY 76 O&O
## 585 Rochester_NY 76 O&O
## 586 Rochester_NY 76 O&O
## 587 Rochester_NY 76 O&O
## 588 Baltimore_MD 26 JSA
## 589 Baltimore_MD 26 JSA
## 590 Baltimore_MD 26 JSA
## 591 Baltimore_MD 26 JSA
## 592 Buffalo_NY 52 O&O
## 593 Buffalo_NY 52 O&O
## 594 Buffalo_NY 52 O&O
## 595 Nashville_TN 28 O&O
## 596 Nashville_TN 28 O&O
## 597 Nashville_TN 28 O&O
## 598 Charleston_WV 74 JSA
## 599 Charleston_WV 74 JSA
## 600 Charleston_WV 74 JSA
## 601 Milwaukee_WI 35 O&O
## 602 Milwaukee_WI 35 O&O
## 603 Milwaukee_WI 35 O&O
## 604 West Palm_FL 36 O&O
## 605 West Palm_FL 36 O&O
## 606 West Palm_FL 36 O&O
## 607 Columbus_OH 34 JSA
## 608 Columbus_OH 34 JSA
## 609 Columbus_OH 34 JSA
## 610 Myrtle Beach_SC 97 LMA
## 611 Myrtle Beach_SC 97 LMA
## 612 Myrtle Beach_SC 97 LMA
## 613 Myrtle Beach_SC 97 LMA
## 614 Grand Rapids_MI 45 O&O
## 615 Grand Rapids_MI 45 O&O
## 616 Grand Rapids_MI 45 O&O
## 617 Greensboro_NC 49 O&O
## 618 Greensboro_NC 49 O&O
## 619 Greensboro_NC 49 O&O
## 620 Greensboro_NC 49 O&O
## 621 Eastern_NC 100 JSA
## 622 Eastern_NC 100 JSA
## 623 Eastern_NC 100 JSA
## 624 Eastern_NC 100 JSA
## 625 Gainesville_FL 156 MSA
## 626 Nashville_TN 28 O&O
## 627 Nashville_TN 28 O&O
## 628 Nashville_TN 28 O&O
## Station_Address
## 1 316 North West Street, Wichita, KS 67203
## 2 316 North West Street, Wichita, KS 67203
## 3 316 North West Street, Wichita, KS 67203
## 4 316 North West Street, Wichita, KS 67203
## 5 316 North West Street, Wichita, KS 67203
## 6 316 North West Street, Wichita, KS 67203
## 7 4335 NW Loop 410, San Antonio, TX 78229
## 8 4335 NW Loop 410, San Antonio, TX 78229
## 9 4335 NW Loop 410, San Antonio, TX 78229
## 10 540 E Street, Eureka, CA 95501
## 11
## 12
## 13 2153 Northeast Sandy Boulevard, Portland, OR 97232
## 14 2153 Northeast Sandy Boulevard, Portland, OR 97232
## 15 2153 Northeast Sandy Boulevard, Portland, OR 97232
## 16 2153 Northeast Sandy Boulevard, Portland, OR 97232
## 17 401 South Main Street, Little Rock, AR 72203
## 18 401 South Main Street, Little Rock, AR 72203
## 19 401 South Main Street, Little Rock, AR 72203
## 20 401 South Main Street, Little Rock, AR 72203
## 21 1901 Westwind Drive, Bakersfield, CA 93301
## 22 1901 Westwind Drive, Bakersfield, CA 93301
## 23 1901 Westwind Drive, Bakersfield, CA 93301
## 24 1901 Westwind Drive, Bakersfield, CA 93301
## 25 1901 Westwind Drive, Bakersfield, CA 93301
## 26 1901 Westwind Drive, Bakersfield, CA 93301
## 27 1901 Westwind Drive, Bakersfield, CA 93301
## 28 1901 Westwind Drive, Bakersfield, CA 93301
## 29 140 North 16th Street, Boise, ID 83702
## 30 140 North 16th Street, Boise, ID 83702
## 31 140 North 16th Street, Boise, ID 83702
## 32 2955 Interstate 10, East Beaumont, TX 77702
## 33 2955 Interstate 10, East Beaumont, TX 77702
## 34 2955 Interstate 10, East Beaumont, TX 77702
## 35 2955 Interstate 10, East Beaumont, TX 77702
## 36
## 37 100 Gold Circle, Dakota Dunes, SD 57049
## 38 100 Gold Circle, Dakota Dunes, SD 57049
## 39 100 Gold Circle, Dakota Dunes, SD 57049
## 40 100 Gold Circle, Dakota Dunes, SD 57049
## 41 540 E Street, Eureka, CA 95501
## 42
## 43
## 44
## 45 3451 Broadway, North Bend, OR 97459
## 46 3451 Broadway, North Bend, OR 97459
## 47 3451 Broadway, North Bend, OR 97459
## 48 401 1st Avenue East, Kalispell, MT 59903
## 49
## 50
## 51 755 Auditorium Drive Redding, CA 96001
## 52
## 53
## 54
## 55
## 56 200 South Alto Mesa Drive, El Paso, TX 79912
## 57 200 South Alto Mesa Drive, El Paso, TX 79912
## 58 200 South Alto Mesa Drive, El Paso, TX 79912
## 59 201 South Wallace, Suite A5, Bozeman, MT 59715
## 60
## 61
## 62 1215 Cole Street, Saint Louis, MO 63106
## 63 1215 Cole Street, Saint Louis, MO 63106
## 64 1215 Cole Street, Saint Louis, MO 63106
## 65 1215 Cole Street, Saint Louis, MO 63106
## 66 4023 Fleur Drive, Des Moines, IA 50321
## 67 4023 Fleur Drive, Des Moines, IA 50321
## 68 4023 Fleur Drive, Des Moines, IA 50321
## 69 4023 Fleur Drive, Des Moines, IA 50321
## 70 540 E Street, Eureka, CA 95501
## 71
## 72 340 West Main Street, Missoula, MT 59802
## 73
## 74
## 75 1025 Chilton Circle, Elko, NV 89801
## 76 2807 West Lewis Street, Pasco, WA 99301
## 77 2807 West Lewis Street, Pasco, WA 99301
## 78 2807 West Lewis Street, Pasco, WA 99301
## 79 540 E Street, Eureka, CA 95501
## 80 10700 Metric Boulevard, Austin, TX 78758
## 81 10700 Metric Boulevard, Austin, TX 78758
## 82 2955 Interstate 10, East Beaumont, TX 77702
## 83 2955 Interstate 10, East Beaumont, TX 77702
## 84 2955 Interstate 10, East Beaumont, TX 77702
## 85 200 South Alto Mesa Drive, El Paso, TX 79912
## 86 200 South Alto Mesa Drive, El Paso, TX 79912
## 87 200 South Alto Mesa Drive, El Paso, TX 79912
## 88 200 South Alto Mesa Drive, El Paso, TX 79912
## 89 5111 East McKinley Avenue, Fresno, CA 93727
## 90 5111 East McKinley Avenue, Fresno, CA 93727
## 91 5111 East McKinley Avenue, Fresno, CA 93727
## 92 5111 East McKinley Avenue, Fresno, CA 93727
## 93 600 Old Marion Road NE, Cedar Rapids, IA 52402
## 94 600 Old Marion Road NE, Cedar Rapids, IA 52402
## 95 600 Old Marion Road NE, Cedar Rapids, IA 52402
## 96 600 Old Marion Road NE, Cedar Rapids, IA 52402
## 97 707 N 48th Street, Lincoln, NE 68504
## 98 600 Old Marion Road NE, Cedar Rapids, IA 52402
## 99 600 Old Marion Road NE, Cedar Rapids, IA 52402
## 100 600 Old Marion Road NE, Cedar Rapids, IA 52402
## 101 600 Old Marion Road NE, Cedar Rapids, IA 52402
## 102 9201 West Expressway 83, Harlingen, TX 78552
## 103 9201 West Expressway 83, Harlingen, TX 78552
## 104 9201 West Expressway 83, Harlingen, TX 78552
## 105 1078 25 Road, Axtell, NE 68924
## 106 1078 25 Road, Axtell, NE 68924
## 107 1078 25 Road, Axtell, NE 68924
## 108 1078 25 Road, Axtell, NE 68924
## 109 1078 25 Road, Axtell, NE 68924
## 110 1078 25 Road, Axtell, NE 68924
## 111 1078 25 Road, Axtell, NE 68924
## 112 1078 25 Road, Axtell, NE 68924
## 113 301 South 36th Street, Quincy, IL 62301
## 114 301 South 36th Street, Quincy, IL 62301
## 115 301 South 36th Street, Quincy, IL 62301
## 116 2801 Terrace Heights Drive, Yakima, WA 98901
## 117 2801 Terrace Heights Drive, Yakima, WA 98901
## 118 2801 Terrace Heights Drive, Yakima, WA 98901
## 119 299 South Main Street, Suite 150, Salt Lake City, UT 84111
## 120 299 South Main Street, Suite 150, Salt Lake City, UT 84111
## 121 299 South Main Street, Suite 150, Salt Lake City, UT 84111
## 122 299 South Main Street, Suite 150, Salt Lake City, UT 84111
## 123 755 Auditorium Drive, Redding CA 96001
## 124 755 Auditorium Drive, Redding CA 96001
## 125 2626 17th Street, Lewiston, ID 83501
## 126 2626 17th Street, Lewiston, ID 83501
## 127 2626 17th Street, Lewiston, ID 83501
## 128 3825 International Court, Springfield, OR 97477
## 129 3825 International Court, Springfield, OR 97477
## 130 3825 International Court, Springfield, OR 97477
## 131 100 Gold Circle, Dakota Dunes, SD 57049
## 132 100 Gold Circle, Dakota Dunes, SD 57049
## 133 100 Gold Circle, Dakota Dunes, SD 57049
## 134 5111 East McKinley Avenue, Fresno, CA 93727
## 135 5111 East McKinley Avenue, Fresno, CA 93727
## 136 5111 East McKinley Avenue, Fresno, CA 93727
## 137 5111 East McKinley Avenue, Fresno, CA 93727
## 138 5111 East McKinley Avenue, Fresno, CA 93727
## 139 5111 East McKinley Avenue, Fresno, CA 93727
## 140 5111 East McKinley Avenue, Fresno, CA 93727
## 141 5111 East McKinley Avenue, Fresno, CA 93727
## 142 3825 International Court, Springfield, OR 97477
## 143 3825 International Court, Springfield, OR 97477
## 144 3825 International Court, Springfield, OR 97477
## 145 316 North West Street, Wichita, KS 67203
## 146 316 North West Street, Wichita, KS 67203
## 147 316 North West Street, Wichita, KS 67203
## 148 316 North West Street, Wichita, KS 67203
## 149 4335 NW Loop 410, San Antonio, TX 78229
## 150 4335 NW Loop 410, San Antonio, TX 78229
## 151 4335 NW Loop 410, San Antonio, TX 78229
## 152 31 E. Saint George Boulevard, St. George, UT 84770
## 153 31 E. Saint George Boulevard, St. George, UT 84770
## 154 1790 Vassar St, Reno, NV 89502
## 155 1790 Vassar St, Reno, NV 89502
## 156 1790 Vassar St, Reno, NV 89502
## 157 1228 East Wilshire Boulevard, Oklahoma City, OK 73111
## 158 1228 East Wilshire Boulevard, Oklahoma City, OK 73111
## 159 1228 East Wilshire Boulevard, Oklahoma City, OK 73111
## 160 316 North West Street, Wichita, KS 67203
## 161 316 North West Street, Wichita, KS 67203
## 162 316 North West Street, Wichita, KS 67203
## 163 1228 East Wilshire Boulevard, Oklahoma City, OK 73111
## 164 1228 East Wilshire Boulevard, Oklahoma City, OK 73111
## 165 1228 East Wilshire Boulevard, Oklahoma City, OK 73111
## 166 140 4th Avenue North, Suite 370, Seattle, WA 98109
## 167 140 4th Avenue North, Suite 500, Seattle, WA 98109
## 168 140 4th Avenue North, Suite 500, Seattle, WA 98109
## 169 2801 Terrace Heights Drive, Yakima, WA 98901
## 170 2801 Terrace Heights Drive, Yakima, WA 98901
## 171 2801 Terrace Heights Drive, Yakima, WA 98901
## 172 2801 Terrace Heights Drive, Yakima, WA 98901
## 173 655 West Umpqua, Roseburg, OR 97470
## 174 655 West Umpqua, Roseburg, OR 97470
## 175 655 West Umpqua, Roseburg, OR 97470
## 176 100 Gold Circle, Dakota Dunes, SD 57049
## 177 100 Gold Circle, Dakota Dunes, SD 57049
## 178 100 Gold Circle, Dakota Dunes, SD 57049
## 179 100 Gold Circle, Dakota Dunes, SD 57049
## 180 4625 Farnam Street, Omaha, NE 68132
## 181 4625 Farnam Street, Omaha, NE 68132
## 182 4625 Farnam Street, Omaha, NE 68132
## 183 100 Gold Circle, Dakota Dunes, SD 57049
## 184 100 Gold Circle, Dakota Dunes, SD 57049
## 185 100 Gold Circle, Dakota Dunes, SD 57049
## 186 100 Gold Circle, Dakota Dunes, SD 57049
## 187 10188 Old Highway 54 North, New Bloomfield, MO 65063
## 188 10188 Old Highway 54 North, New Bloomfield, MO 65063
## 189 10188 Old Highway 54 North, New Bloomfield, MO 65063
## 190 10188 Old Highway 54 North, New Bloomfield, MO 65063
## 191 755 Auditorium Drive, Redding, CA 96001
## 192
## 193
## 194
## 195 1790 Vassar Street, Reno, NV 89502
## 196 1790 Vassar Street, Reno, NV 89502
## 197 1790 Vassar Street, Reno, NV 89502
## 198 755 Auditorium Drive Redding, CA 96001
## 199
## 200
## 201 1790 Vassar St, Reno, NV 89502
## 202 1790 Vassar St, Reno, NV 89502
## 203 1790 Vassar St, Reno, NV 89502
## 204 316 North West Street, Wichita, KS 67203
## 205 316 North West Street, Wichita, KS 67203
## 206 316 North West Street, Wichita, KS 67203
## 207 316 North West Street, Wichita, KS 67203
## 208 316 North West Street, Wichita, KS 67203
## 209 316 North West Street, Wichita, KS 67203
## 210 4455 South Padre Island Drive Suite 38, Corpus Christi, TX 78411
## 211 4455 South Padre Island Drive Suite 38, Corpus Christi, TX 78411
## 212 4455 South Padre Island Drive Suite 38, Corpus Christi, TX 78411
## 213 1500 Foremaster Lane, Las Vegas, NV 89101
## 214 1500 Foremaster Lane, Las Vegas, NV 89101
## 215 1500 Foremaster Lane, Las Vegas, NV 89101
## 216 1500 Foremaster Lane, Las Vegas, NV 89101
## 217 415 South East Jackson Street, Roseburg, OR 97470
## 218 415 South East Jackson Street, Roseburg, OR 97470
## 219 415 South East Jackson Street, Roseburg, OR 97470
## 220
## 221 4455 South Padre Island Drive Suite 38, Corpus Christi, TX 78411
## 222 3333 South 29th West Avenue, Tulsa, OK 74107
## 223 3333 South 29th West Avenue, Tulsa, OK 74107
## 224 3333 South 29th West Avenue, Tulsa, OK 74107
## 225 3333 South 29th West Avenue, Tulsa, OK 74107
## 226 1440 Rossanley Drive, Medford, OR 97501
## 227 1440 Rossanley Drive, Medford, OR 97501
## 228 1440 Rossanley Drive, Medford, OR 97501
## 229 1440 Rossanley Drive, Medford, OR 97501
## 230 750 Dewey Boulevard, Butte, MT 59701
## 231
## 232
## 233 15518 US-63, PO Box 949, Kirksville, MO 63501
## 234 15518 US-63, PO Box 949, Kirksville, MO 63501
## 235 15518 US-63, PO Box 949, Kirksville, MO 63501
## 236 17 S Chadbourne, Suite 502, San Angelo, TX 76903
## 237
## 238
## 239 4420 N Clack Street, Abilene, TX 79601
## 240
## 241
## 242 755 Auditorium Drive Redding, CA 96001
## 243 2153 Northeast Sandy Boulevard, Portland, OR 97232
## 244 2153 Northeast Sandy Boulevard, Portland, OR 97232
## 245 2153 Northeast Sandy Boulevard, Portland, OR 97232
## 246 2153 Northeast Sandy Boulevard, Portland, OR 97232
## 247 2153 Northeast Sandy Boulevard, Portland, OR 97232
## 248 2153 Northeast Sandy Boulevard, Portland, OR 97232
## 249 140 4th Avenue North, Suite 370, Seattle, WA 98109
## 250 140 4th Avenue North, Suite 500, Seattle, WA 98109
## 251 140 4th Avenue North, Suite 500, Seattle, WA 98109
## 252 2801 Terrace Heights Drive, Yakima, WA 98901
## 253 2801 Terrace Heights Drive, Yakima, WA 98901
## 254 2801 Terrace Heights Drive, Yakima, WA 98901
## 255 2801 Terrace Heights Drive, Yakima, WA 98901
## 256 299 South Main Street, Suite 150, Salt Lake City, UT 84111
## 257 299 South Main Street, Suite 150, Salt Lake City, UT 84111
## 258 4575 Blanton Road, Eugene, OR 97405
## 259 4575 Blanton Road, Eugene, OR 97405
## 260 4575 Blanton Road, Eugene, OR 97405
## 261 1500 Foremaster Lane, Las Vegas, NV 89101
## 262 1500 Foremaster Lane, Las Vegas, NV 89101
## 263 1500 Foremaster Lane, Las Vegas, NV 89101
## 264 1500 Foremaster Lane, Las Vegas, NV 89101
## 265
## 266 One Broadcast Center, Amarillo, TX 79101
## 267 One Broadcast Center, Amarillo, TX 79101
## 268 One Broadcast Center, Amarillo, TX 79101
## 269 One Broadcast Center, Amarillo, TX 79101
## 270 One Broadcast Center, Amarillo, TX 79101
## 271 One Broadcast Center, Amarillo, TX 79101
## 272 One Broadcast Center, Amarillo, TX 79101
## 273 One Broadcast Center, Amarillo, TX 79101
## 274 2807 West Lewis Street, Pasco, WA 99301
## 275 2807 West Lewis Street, Pasco, WA 99301
## 276 2807 West Lewis Street, Pasco, WA 99301
## 277 2807 West Lewis Street, Pasco, WA 99301
## 278 1078 25 Road, Axtell, NE 68924
## 279 1078 25 Road, Axtell, NE 68924
## 280 1078 25 Road, Axtell, NE 68924
## 281 1078 25 Road, Axtell, NE 68924
## 282 4455 South Padre Island Drive Suite 38, Corpus Christi, TX 78411
## 283 4625 Farnam Street, Omaha, NE 68132
## 284 4625 Farnam Street, Omaha, NE 68132
## 285 4625 Farnam Street, Omaha, NE 68132
## 286 4625 Farnam Street, Omaha, NE 68132
## 287 140 North 16th Street, Boise, ID 83702
## 288 140 North 16th Street, Boise, ID 83702
## 289 140 North 16th Street, Boise, ID 83702
## 290 140 North 16th Street, Boise, ID 83702
## 291
## 292 2021 Golden Crest Drive, Birmingham, AL 35209
## 293 2021 Golden Crest Drive, Birmingham, AL 35209
## 294 2021 Golden Crest Drive, Birmingham, AL 35209
## 295 2021 Golden Crest Drive, Birmingham, AL 35209
## 296 1400 Pickens Street, Suite 600, Columbia, SC 29201
## 297 1400 Pickens Street, Suite 600, Columbia, SC 29201
## 298 1400 Pickens Street, Suite 600, Columbia, SC 29201
## 299 1400 Pickens Street, Suite 600, Columbia, SC 29201
## 300 2000 West 41st Street, Baltimore, MD 21211
## 301 2000 West 41st Street, Baltimore, MD 21211
## 302 2000 West 41st Street, Baltimore, MD 21211
## 303 2000 West 41st Street, Baltimore, MD 21211
## 304 800 Concourse Parkway, Suite 200, Birmingham, AL 35244
## 305 800 Concourse Parkway, Suite 200, Birmingham, AL 35244
## 306 800 Concourse Parkway, Suite 200, Birmingham, AL 35244
## 307 800 Concourse Parkway, Suite 200, Birmingham, AL 35244
## 308 G-3463 West Pierson Road, Flint, MI 48504
## 309 G-3463 West Pierson Road, Flint, MI 48504
## 310 G-3463 West Pierson Road, Flint, MI 48504
## 311 2950 North Water Street, Suite 140, Decatur, IL 62526
## 312 2950 North Water Street, Suite 140, Decatur, IL 62526
## 313 2950 North Water Street, Suite 140, Decatur, IL 62526
## 314 250 South Country Fair Drive, Champaign, IL 61821
## 315 250 South Country Fair Drive, Champaign, IL 61821
## 316 250 South Country Fair Drive, Champaign, IL 61821
## 317 1301 Piedmont Road, Charleston, WV 25301
## 318 1301 Piedmont Road, Charleston, WV 25301
## 319 1301 Piedmont Road, Charleston, WV 25301
## 320 1301 Piedmont Road, Charleston, WV 25301
## 321 888 Allbritton Boulevard, Mount Pleasant, SC 29464
## 322 888 Allbritton Boulevard, Mount Pleasant, SC 29464
## 323 888 Allbritton Boulevard, Mount Pleasant, SC 29464
## 324 888 Allbritton Boulevard, Mount Pleasant, SC 29464
## 325 225 Glenburnie Drive, New Bern, NC 28560
## 326
## 327
## 328
## 329 787 Lombardi Avenue, Green Bay, WI 54304
## 330 787 Lombardi Avenue, Green Bay, WI 54304
## 331 787 Lombardi Avenue, Green Bay, WI 54304
## 332 787 Lombardi Avenue, Green Bay, WI 54304
## 333
## 334 1400 Balltown Road, Schenectady, NY 12309
## 335 1400 Balltown Road, Schenectady, NY 12309
## 336 1400 Balltown Road, Schenectady, NY 12309
## 337 1400 Balltown Road, Schenectady, NY 12309
## 338 101 Lee Street, Bristol, VA 24201
## 339
## 340
## 341 651 Beacon Parkway, West, Suite 105, Birmingham, AL 35209
## 342 651 Beacon Parkway, West, Suite 105, Birmingham, AL 35209
## 343 651 Beacon Parkway, West, Suite 105, Birmingham, AL 35209
## 344 4990 Mobile Highway, Pensacola, FL 32506
## 345 4990 Mobile Highway, Pensacola, FL 32506
## 346 4990 Mobile Highway, Pensacola, FL 32506
## 347 101 Lee Street, Bristol, VA 24201
## 348
## 349
## 350
## 351 G-3463 West Pierson Road, Flint, MI 48504
## 352 G-3463 West Pierson Road, Flint, MI 48504
## 353 G-3463 West Pierson Road, Flint, MI 48504
## 354 G-3463 West Pierson Road, Flint, MI 48504
## 355 4990 Mobile Highway, Pensacola, FL 32506
## 356 4990 Mobile Highway, Pensacola, FL 32506
## 357 4990 Mobile Highway, Pensacola, FL 32506
## 358 1101 East Main Street, Chattanooga, TN 37408
## 359 1101 East Main Street, Chattanooga, TN 37408
## 360 1101 East Main Street, Chattanooga, TN 37408
## 361 1101 East Main Street, Chattanooga, TN 37408
## 362 1201 Stuart Avenue, Albany, GA 31706
## 363 1201 Stuart Avenue, Albany, GA 31706
## 364 1201 Stuart Avenue, Albany, GA 31706
## 365 1201 Stuart Avenue, Albany, GA 31706
## 366 1703 Northwest 80th Boulevard, Gainesville, FL 32606
## 367 1703 Northwest 80th Boulevard, Gainesville, FL 32606
## 368 1703 Northwest 80th Boulevard, Gainesville, FL 32606
## 369 81 Northport Drive, Portland, ME 04103
## 370 81 Northport Drive, Portland, ME 04103
## 371 81 Northport Drive, Portland, ME 04103
## 372 8513 M-72, Traverse City, MI 49684
## 373 8513 M-72, Traverse City, MI 49684
## 374 8513 M-72, Traverse City, MI 49684
## 375 8513 M-72, Traverse City, MI 49684
## 376 8513 M-72, Traverse City, MI 49684
## 377 599 Martin Luther King Jr. Boulevard, Macon, GA 31201
## 378 599 Martin Luther King Jr. Boulevard, Macon, GA 31201
## 379 599 Martin Luther King Jr. Boulevard, Macon, GA 31201
## 380 4225 West Henrietta Road, Rochester, NY 14623
## 381 4225 West Henrietta Road, Rochester, NY 14623
## 382 4225 West Henrietta Road, Rochester, NY 14623
## 383 2907 Springfield Road, East Peoria, IL 61611
## 384 3300 North Sixth Street, Harrisburg, PA 17110
## 385 3300 North Sixth Street, Harrisburg, PA 17110
## 386 3300 North Sixth Street, Harrisburg, PA 17110
## 387 3300 North Sixth Street, Harrisburg, PA 17110
## 388 250 South Country Fair Drive, Champaign, IL 61821
## 389 250 South Country Fair Drive, Champaign, IL 61821
## 390 250 South Country Fair Drive, Champaign, IL 61821
## 391 250 South Country Fair Drive, Champaign, IL 61821
## 392 2680 East Cook Street, Springfield, IL 62703
## 393 2680 East Cook Street, Springfield, IL 62703
## 394 2680 East Cook Street, Springfield, IL 62703
## 395 2680 East Cook Street, Springfield, IL 62703
## 396 49 Old Hickory Lane, Johnstown, PA 15905
## 397 49 Old Hickory Lane, Johnstown, PA 15905
## 398 49 Old Hickory Lane, Johnstown, PA 15905
## 399 49 Old Hickory Lane, Johnstown, PA 15905
## 400 23 Kenney Drive, Cranston, RI 02920
## 401 23 Kenney Drive, Cranston, RI 02920
## 402 23 Kenney Drive, Cranston, RI 02920
## 403 23 Kenney Drive, Cranston, RI 02920
## 404 1100 Wilson Boulevard, 6th Floor, Arlington, VA 22209
## 405 1100 Wilson Boulevard, 6th Floor, Arlington, VA 22209
## 406 1100 Wilson Boulevard, 6th Floor, Arlington, VA 22209
## 407 1100 Wilson Boulevard, 6th Floor, Arlington, VA 22209
## 408 661 Azalea Road, Mobile, AL 36609
## 409 661 Azalea Road, Mobile, AL 36609
## 410 661 Azalea Road, Mobile, AL 36609
## 411 2245 Corporate Place, Miamisburg, OH 45342
## 412 2245 Corporate Place, Miamisburg, OH 45342
## 413 2245 Corporate Place, Miamisburg, OH 45342
## 414 2245 Corporate Place, Miamisburg, OH 45342
## 415 1906 Highland Avenue, Cincinnati, OH 45219
## 416 1906 Highland Avenue, Cincinnati, OH 45219
## 417 1906 Highland Avenue, Cincinnati, OH 45219
## 418 3012 Highwoods Boulevard, Suite 101, Raleigh, NC 27604
## 419 3012 Highwoods Boulevard, Suite 101, Raleigh, NC 27604
## 420 3012 Highwoods Boulevard, Suite 101, Raleigh, NC 27604
## 421 3012 Highwoods Boulevard, Suite 101, Raleigh, NC 27604
## 422 110 Technology Drive, Asheville, NC 28803
## 423 110 Technology Drive, Asheville, NC 28803
## 424 110 Technology Drive, Asheville, NC 28803
## 425 110 Technology Drive, Asheville, NC 28803
## 426 787 Lombardi Avenue, Green Bay, WI 54304
## 427 787 Lombardi Avenue, Green Bay, WI 54304
## 428 787 Lombardi Avenue, Green Bay, WI 54304
## 429 7847 Big Sky Drive, Madison, WI 53719
## 430 7847 Big Sky Drive, Madison, WI 53719
## 431 7847 Big Sky Drive, Madison, WI 53719
## 432 7847 Big Sky Drive, Madison, WI 53719
## 433 33 Villa Road, Suite 105, Greenville, SC 29615
## 434 33 Villa Road, Suite 105, Greenville, SC 29615
## 435 33 Villa Road, Suite 105, Greenville, SC 29615
## 436 33 Villa Road, Suite 105, Greenville, SC 29615
## 437
## 438 3500 Myer Lee Drive, Winston-Salem, NC 27101
## 439 3500 Myer Lee Drive, Winston-Salem, NC 27101
## 440 3500 Myer Lee Drive, Winston-Salem, NC 27101
## 441 631 Mainstream Drive, Nashville, TN 37228
## 442 631 Mainstream Drive, Nashville, TN 37228
## 443 631 Mainstream Drive, Nashville, TN 37228
## 444 631 Mainstream Drive, Nashville, TN 37228
## 445 1703 Northwest 80th Boulevard, Gainesville, FL 32606
## 446 1703 Northwest 80th Boulevard, Gainesville, FL 32606
## 447 1703 Northwest 80th Boulevard, Gainesville, FL 32606
## 448 1703 Northwest 80th Boulevard, Gainesville, FL 32606
## 449 2000 West 41st Street, Baltimore, MD 21211
## 450 2000 West 41st Street, Baltimore, MD 21211
## 451 2000 West 41st Street, Baltimore, MD 21211
## 452 2000 West 41st Street, Baltimore, MD 21211
## 453 300 South Byrne Road, Toledo, OH 43615
## 454 300 South Byrne Road, Toledo, OH 43615
## 455 300 South Byrne Road, Toledo, OH 43615
## 456 300 South Byrne Road, Toledo, OH 43615
## 457 699 Hertel Avenue, Suite 100, Buffalo, NY 14207
## 458 699 Hertel Avenue, Suite 100, Buffalo, NY 14207
## 459 699 Hertel Avenue, Suite 100, Buffalo, NY 14207
## 460 699 Hertel Avenue, Suite 100, Buffalo, NY 14207
## 461 4335 NW Loop 410, San Antonio, TX 78229
## 462 4335 NW Loop 410, San Antonio, TX 78229
## 463 4335 NW Loop 410, San Antonio, TX 78229
## 464 1181 Highway 315, Plains, PA 18702
## 465 1181 Highway 315, Plains, PA 18702
## 466 1181 Highway 315, Plains, PA 18702
## 467 8513 M-72, Traverse City, MI 49684
## 468 8513 M-72, Traverse City, MI 49684
## 469 8513 M-72, Traverse City, MI 49684
## 470 10 University Boulevard, Conway, SC 29526
## 471 10 University Boulevard, Conway, SC 29526
## 472 10 University Boulevard, Conway, SC 29526
## 473 10 University Boulevard, Conway, SC 29526
## 474
## 475 1100 Fairfield Drive, West Palm Beach, FL 33407
## 476 1100 Fairfield Drive, West Palm Beach, FL 33407
## 477 1100 Fairfield Drive, West Palm Beach, FL 33407
## 478 81 Northport Drive, Portland, ME 04103
## 479 81 Northport Drive, Portland, ME 04103
## 480 81 Northport Drive, Portland, ME 04103
## 481 81 Northport Drive, Portland, ME 04103
## 482 750 Ivory Avenue, Pittsburgh, PA 15214
## 483 750 Ivory Avenue, Pittsburgh, PA 15214
## 484 750 Ivory Avenue, Pittsburgh, PA 15214
## 485 661 Azalea Road, Mobile, AL 36609
## 486 661 Azalea Road, Mobile, AL 36609
## 487 661 Azalea Road, Mobile, AL 36609
## 488 750 Ivory Avenue, Pittsburgh, PA 15214
## 489 750 Ivory Avenue, Pittsburgh, PA 15214
## 490 750 Ivory Avenue, Pittsburgh, PA 15214
## 491 750 Ivory Avenue, Pittsburgh, PA 15214
## 492 1181 Highway 315, Plains, PA 18702
## 493 1181 Highway 315, Plains, PA 18702
## 494 1181 Highway 315, Plains, PA 18702
## 495 3012 Highwoods Boulevard, Suite 101, Raleigh, NC 27604
## 496 3012 Highwoods Boulevard, Suite 101, Raleigh, NC 27604
## 497 3012 Highwoods Boulevard, Suite 101, Raleigh, NC 27604
## 498 1400 Balltown Road, Schenectady, NY 12309
## 499 1400 Balltown Road, Schenectady, NY 12309
## 500 1400 Balltown Road, Schenectady, NY 12309
## 501 2245 Corporate Place, Miamisburg, OH 45342
## 502 2245 Corporate Place, Miamisburg, OH 45342
## 503 2245 Corporate Place, Miamisburg, OH 45342
## 504 2245 Corporate Place, Miamisburg, OH 45342
## 505 2001 Maywill Street, Suite 103, Richmond, VA 23230
## 506 2001 Maywill Street, Suite 103, Richmond, VA 23230
## 507 2001 Maywill Street, Suite 103, Richmond, VA 23230
## 508 2001 Maywill Street, Suite 103, Richmond, VA 23230
## 509 2001 Maywill Street, Suite 103, Richmond, VA 23230
## 510 2680 E. Cook Street Springfield, IL. 62703
## 511 2680 E. Cook Street Springfield, IL. 62703
## 512 2680 E. Cook Street Springfield, IL. 62703
## 513 1301 Douglas Rd, Mishawaka, IN 46530
## 514 1301 Douglas Rd, Mishawaka, IN 46530
## 515 2320 Langhorne Road, Lynchburg, VA 24501
## 516 2320 Langhorne Road, Lynchburg, VA 24501
## 517 2320 Langhorne Road, Lynchburg, VA 24501
## 518 2320 Langhorne Road, Lynchburg, VA 24501
## 519 G-3463 West Pierson Road, Flint, MI 48504
## 520 G-3463 West Pierson Road, Flint, MI 48504
## 521 G-3463 West Pierson Road, Flint, MI 48504
## 522 G-3463 West Pierson Road, Flint, MI 48504
## 523 1030 James Street, Syracuse, NY 13203
## 524 1030 James Street, Syracuse, NY 13203
## 525 1030 James Street, Syracuse, NY 13203
## 526 1030 James Street, Syracuse, NY 13203
## 527 1906 Highland Avenue, Cincinnati, OH 45219
## 528 1906 Highland Avenue, Cincinnati, OH 45219
## 529 1906 Highland Avenue, Cincinnati, OH 45219
## 530 1906 Highland Avenue, Cincinnati, OH 45219
## 531 1181 Highway 315, Plains, PA 18702
## 532 1181 Highway 315, Plains, PA 18702
## 533 1181 Highway 315, Plains, PA 18702
## 534 1181 Highway 315, Plains, PA 18702
## 535 1261 Dublin Road, Columbus, OH 43215
## 536 1261 Dublin Road, Columbus, OH 43215
## 537 1261 Dublin Road, Columbus, OH 43215
## 538 1100 Fairfield Drive, West Palm Beach, FL 33407
## 539 1100 Fairfield Drive, West Palm Beach, FL 33407
## 540 1100 Fairfield Drive, West Palm Beach, FL 33407
## 541 1100 Fairfield Drive, West Palm Beach, FL 33407
## 542 1375 Chatham Parkway #3, Savannah, GA 31405
## 543 1375 Chatham Parkway #3, Savannah, GA 31405
## 544 1375 Chatham Parkway #3, Savannah, GA 31405
## 545 1375 Chatham Parkway #3, Savannah, GA 31405
## 546 8440 Deer Lake Road South, Tallahassee, FL 32312
## 547 8440 Deer Lake Road South, Tallahassee, FL 32312
## 548 8440 Deer Lake Road South, Tallahassee, FL 32312
## 549 8440 Deer Lake Road South, Tallahassee, FL 32312
## 550 8440 Deer Lake Road South, Tallahassee, FL 32312
## 551 8513 M-72, Traverse City, MI 49684
## 552 8513 M-72, Traverse City, MI 49684
## 553 8513 M-72, Traverse City, MI 49684
## 554 9 Red Donley Plaza, Mingo Junction, OH 43938
## 555 9 Red Donley Plaza, Mingo Junction, OH 43938
## 556 9 Red Donley Plaza, Mingo Junction, OH 43938
## 557 1261 Dublin Road, Columbus, OH 43215
## 558 1261 Dublin Road, Columbus, OH 43215
## 559 1261 Dublin Road, Columbus, OH 43215
## 560 2021 Golden Crest Drive, Birmingham, AL 35209
## 561 2021 Golden Crest Drive, Birmingham, AL 35209
## 562 2021 Golden Crest Drive, Birmingham, AL 35209
## 563 2021 Golden Crest Drive, Birmingham, AL 35209
## 564 4279 Benton Drive, Chattanooga, TN 37406
## 565 4279 Benton Drive, Chattanooga, TN 37406
## 566 4279 Benton Drive, Chattanooga, TN 37406
## 567 1030 James Street, Syracuse, NY 13203
## 568 1030 James Street, Syracuse, NY 13203
## 569 1030 James Street, Syracuse, NY 13203
## 570 1100 Fairfield Drive, West Palm Beach, FL 33407
## 571 1100 Fairfield Drive, West Palm Beach, FL 33407
## 572 1100 Fairfield Drive, West Palm Beach, FL 33407
## 573 236 Clearfield Ave, Suite 205 Virginia Beach, VA 23462
## 574 236 Clearfield Ave, Suite 205 Virginia Beach, VA 23462
## 575 236 Clearfield Ave, Suite 205 Virginia Beach, VA 23462
## 576 236 Clearfield Ave, Suite 205 Virginia Beach, VA 23462
## 577 8440 Deer Lake Road South, Tallahassee, FL 32312
## 578 8440 Deer Lake Road South, Tallahassee, FL 32312
## 579 8440 Deer Lake Road South, Tallahassee, FL 32312
## 580 800 Hennepin Ave, Suite 700 Minneapolis, Minnesota 55403
## 581 800 Hennepin Ave, Suite 700 Minneapolis, Minnesota 55403
## 582 800 Hennepin Ave, Suite 700 Minneapolis, Minnesota 55403
## 583 800 Hennepin Ave, Suite 700 Minneapolis, Minnesota 55403
## 584 4225 West Henrietta Road, Rochester, NY 14623
## 585 4225 West Henrietta Road, Rochester, NY 14623
## 586 4225 West Henrietta Road, Rochester, NY 14623
## 587 4225 West Henrietta Road, Rochester, NY 14623
## 588 2000 West 41st Street, Baltimore, MD 21211
## 589 2000 West 41st Street, Baltimore, MD 21211
## 590 2000 West 41st Street, Baltimore, MD 21211
## 591 2000 West 41st Street, Baltimore, MD 21211
## 592 699 Hertel Avenue, Suite 100, Buffalo, NY 14207
## 593 699 Hertel Avenue, Suite 100, Buffalo, NY 14207
## 594 699 Hertel Avenue, Suite 100, Buffalo, NY 14207
## 595 631 Mainstream Drive, Nashville, TN 37228
## 596 631 Mainstream Drive, Nashville, TN 37228
## 597 631 Mainstream Drive, Nashville, TN 37228
## 598 1301 Piedmont Road, Charleston, WV 25301
## 599 1301 Piedmont Road, Charleston, WV 25301
## 600 1301 Piedmont Road, Charleston, WV 25301
## 601 11520 West Calumet Road, Milwaukee, WI 53224
## 602 11520 West Calumet Road, Milwaukee, WI 53224
## 603 11520 West Calumet Road, Milwaukee, WI 53224
## 604 1100 Fairfield Drive, West Palm Beach, FL 33407
## 605 1100 Fairfield Drive, West Palm Beach, FL 33407
## 606 1100 Fairfield Drive, West Palm Beach, FL 33407
## 607 1261 Dublin Road, Columbus, OH 43215
## 608 1261 Dublin Road, Columbus, OH 43215
## 609 1261 Dublin Road, Columbus, OH 43215
## 610 10 University Boulevard, Conway, SC 29526
## 611 10 University Boulevard, Conway, SC 29526
## 612 10 University Boulevard, Conway, SC 29526
## 613 10 University Boulevard, Conway, SC 29526
## 614 590 West Maple Street, Kalamazoo, MI 49008
## 615 590 West Maple Street, Kalamazoo, MI 49008
## 616 590 West Maple Street, Kalamazoo, MI 49008
## 617 3500 Myer Lee Drive, Winston-Salem, NC 27101
## 618 3500 Myer Lee Drive, Winston-Salem, NC 27101
## 619 3500 Myer Lee Drive, Winston-Salem, NC 27101
## 620 3500 Myer Lee Drive, Winston-Salem, NC 27101
## 621 225 Glenburnie Drive, New Bern, NC 28560
## 622
## 623
## 624
## 625 1703 Northwest 80th Boulevard, Gainesville, FL 32606
## 626 631 Mainstream Drive, Nashville, TN 37228
## 627 631 Mainstream Drive, Nashville, TN 37228
## 628 631 Mainstream Drive, Nashville, TN 37228
## Station_City Station_State Station_Zip Station_Logo
## 1 Wichita KS 67203 sbg_noimage
## 2 Wichita KS 67203 tbd
## 3 Wichita KS 67203 comet
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## 10 Eureka CA 95501 abc
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## 16 Portland OR 97232 stadium
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## 19 Little Rock AR 72203 charge
## 20 Little Rock AR 72203 tbd
## 21 Bakersfield CA 93301 sbg_noimage
## 22 Bakersfield CA 93301 sbg_noimage
## 23 Bakersfield CA 93301 charge
## 24 Bakersfield CA 93301
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## 28 Bakersfield CA 93301 stadium
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## 30 Boise ID 83702 kboi-2_cw
## 31 Boise ID 83702 charge
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## 35 Beaumont TX 77702 stadium
## 36 0
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## 83 East Beaumont TX 77702 kfdm-2_cw
## 84 East Beaumont TX 77702 charge
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## 87 El Paso TX 79912 charge
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## 89 Fresno CA 93727 kfre_cw
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## 92 Fresno CA 93727 tbd
## 93 Cedar Rapids IA 52402 kfxa_fox
## 94 Cedar Rapids IA 52402 charge
## 95 Cedar Rapids IA 52402 tbd
## 96 Cedar Rapids IA 52402 stadium
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## 99 Cedar Rapids IA 52402 gettv
## 100 Cedar Rapids IA 52402 comet
## 101 Cedar Rapids IA 52402
## 102 Harlingen TX 78552 azteca
## 103 Harlingen TX 78552 comet
## 104 Harlingen TX 78552
## 105 Axtell NE 68924 sbg_noimage
## 106 Axtell NE 68924
## 107 Axtell NE 68924 tbd
## 108 Axtell NE 68924 sbg_noimage
## 109 Axtell NE 68924 sbg_noimage
## 110 Axtell NE 68924 sbg_noimage
## 111 Axtell NE 68924
## 112 Axtell NE 68924
## 113 Quincy IL 62301 khqa_cbs
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## 131 Dakota Dunes SD 57049 kmeg_cbs
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## 134 Fresno CA 93727 kmph_fox
## 135 Fresno CA 93727 thistv
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## 137 Fresno CA 93727 stadium
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## 142 Springfield OR 97477 kmtr_nbc
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## 146 Wichita KS 67203 stadium
## 147 Wichita KS 67203 charge
## 148 Wichita KS 67203
## 149 San Antonio TX 78229 kmys_cw
## 150 San Antonio TX 78229 stadium
## 151 San Antonio TX 78229
## 152 St. George UT 84770 kmyu_mytv
## 153 St. George UT 84770 sbg_noimage
## 154 Reno NV 89502
## 155 Reno NV 89502 stadium
## 156 Reno NV 89502 comet
## 157 Oklahoma City OK 73111 kocb_cw
## 158 Oklahoma City OK 73111 tbd
## 159 Oklahoma City OK 73111 comet
## 160 Wichita KS 67203 sbg_noimage
## 161 Wichita KS 67203 tbd
## 162 Wichita KS 67203 comet
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## 164 Oklahoma City OK 73111 charge
## 165 Oklahoma City OK 73111 stadium
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## 167 Seattle WA 98109 comet
## 168 Seattle WA 98109 charge
## 169 Yakima WA 98901 korx_univision
## 170 Yakima WA 98901 comet
## 171 Yakima WA 98901 tbd
## 172 Yakima WA 98901 charge
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## 178 Dakota Dunes SD 57049 charge
## 179 Dakota Dunes SD 57049 stadium
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## 181 Omaha NE 68132 mytv
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## 183 Dakota Dunes SD 57049 sbg_noimage
## 184 Dakota Dunes SD 57049 mytv
## 185 Dakota Dunes SD 57049 charge
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## 189 New Bloomfield MO 65063 charge
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## 191 Redding CA 96001 abc
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## 197 Reno NV 89502 tbd
## 198 Redding CA 96001 mytv
## 199 96001 comet
## 200 96001
## 201 Reno NV 89502 krxi_fox
## 202 Reno NV 89502 charge
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## 205 Wichita KS 67203 tbd
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## 207 Wichita KS 67203 sbg_noimage
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## 222 Tulsa OK 74107 ktul_abc
## 223 Tulsa OK 74107 comet
## 224 Tulsa OK 74107 antenna
## 225 Tulsa OK 74107 tbd
## 226 Medford OR 97501 ktvl_cbs
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## 234 Kirksville MO 63501 sbg_noimage
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## 237 76903 cw
## 238 76903 metv
## 239 Abilene TX 79601 abc
## 240 79601 cw
## 241 79601 metv
## 242 Redding CA 96001
## 243 Portland OR 97232 kunp_univision
## 244 Portland OR 97232 tbd
## 245 Portland OR 97232 charge
## 246 Portland OR 97232 kunp-ld_univision
## 247 Portland OR 97232 tbd
## 248 Portland OR 97232 charge
## 249 Seattle WA 98109 kuns_univision
## 250 Seattle WA 98109 tbd
## 251 Seattle WA 98109 stadium
## 252 Yakima WA 98901 kunw_univision
## 253 Yakima WA 98901 comet
## 254 Yakima WA 98901 tbd
## 255 Yakima WA 98901 charge
## 256 Salt Lake City UT 84111 kutv_cbs
## 257 Salt Lake City UT 84111 kutv-2_mytv
## 258 Eugene OR 97405 kval_cbs
## 259 Eugene OR 97405 tbd
## 260 Eugene OR 97405 charge
## 261 Las Vegas NV 89103 kvcw_cw
## 262 Las Vegas NV 89103 kvcw-2_mytv
## 263 Las Vegas NV 89103 tbd
## 264 Las Vegas NV 89103
## 265 0
## 266 Amarillo TX 79101 kvih_abc
## 267 Amarillo TX 79101 kvih-2_cw
## 268 Amarillo TX 79101 comet
## 269 Amarillo TX 79101 stadium
## 270 Amarillo TX 79101 kvii_abc
## 271 Amarillo TX 79101 kvii-2_cw
## 272 Amarillo TX 79101 comet
## 273 Amarillo TX 79101 stadium
## 274 Pasco WA 99301 univision
## 275 Pasco WA 99301 comet
## 276 Pasco WA 99301 tbd
## 277 Pasco WA 99301 charge
## 278 Axtell NE 68924 sbg_noimage
## 279 Axtell NE 68924 sbg_noimage
## 280 Axtell NE 68924 sbg_noimage
## 281 Axtell NE 68924 sbg_noimage
## 282 Corpus Christi TX 78411 retrotv
## 283 Omaha NE 68132 kxvo_cw
## 284 Omaha NE 68132 tbd
## 285 Omaha NE 68132 charge
## 286 Omaha NE 68132 stadium
## 287 Boise ID 83702 kyuu_cw
## 288 Boise ID 83702 tbd
## 289 Boise ID 83702 comet
## 290 Boise ID 83702 stadium
## 291 0
## 292 Birmingham AL 35209 wabm_mytv
## 293 Birmingham AL 35209 sbg_noimage
## 294 Birmingham AL 35209 sbg_noimage
## 295 Birmingham AL 35209
## 296 Columbia SC 29201 wach_fox
## 297 Columbia SC 29201 stadium
## 298 Columbia SC 29201 comet
## 299 Columbia SC 29201 tbd
## 300 Baltimore MD 21211 wbff_fox
## 301 Baltimore MD 21211 mytv
## 302 Baltimore MD 21211 tbd
## 303 Baltimore MD 21211 stadium
## 304 Birmingham AL 35244 wbma_abc
## 305 Birmingham AL 35244 sbg_noimage
## 306 Birmingham AL 35244 stadium
## 307 Birmingham AL 35244 charge
## 308 Flint MI 48504 wbsf_cw
## 309 Flint MI 48504 sbg_noimage
## 310 Flint MI 48504 charge
## 311 Decatur IL 62526 wbui_cw
## 312 Decatur IL 62526 thistv
## 313 Decatur IL 62526 stadium
## 314 Champaign IL 61821 wccu_fox
## 315 Champaign IL 61821 metv
## 316 Champaign IL 61821
## 317 Charleston WV 25301 wchs_abc
## 318 Charleston WV 25301 antenna
## 319 Charleston WV 25301 charge
## 320 Charleston WV 25301 tbd
## 321 Mount Pleasant SC 29464 wciv_mytv
## 322 Mount Pleasant SC 29464 wciv-2_abc
## 323 Mount Pleasant SC 29464 wciv-3_metv
## 324 Mount Pleasant SC 29464
## 325 New Bern NC 28560 abc
## 326 28560 comet
## 327 28560 sbg_noimage
## 328 28560 tbd
## 329 Green Bay WI 54304 wcwf_cw
## 330 Green Bay WI 54304 comet
## 331 Green Bay WI 54304 charge
## 332 Green Bay WI 54304 stadium
## 333 0
## 334 Schenectady NY 12309 wcwn_cw
## 335 Schenectady NY 12309 charge
## 336 Schenectady NY 12309 sbg_noimage
## 337 Schenectady NY 12309 stadium
## 338 Bristol VA 24201 nbc
## 339 24201 cw
## 340 24201 comet
## 341 Birmingham AL 35209 wdbb_cw
## 342 Birmingham AL 35209 sbg_noimage
## 343 Birmingham AL 35209 sbg_noimage
## 344 Pensacola FL 32506 wear_abc
## 345 Pensacola FL 32506 tbd
## 346 Pensacola FL 32506 charge
## 347 Bristol VA 24201 fox
## 348 24201 sbg_noimage
## 349 24201 charge
## 350 24201 tbd
## 351 Flint MI 48504 weyi_nbc
## 352 Flint MI 48504 weyi-2_cw
## 353 Flint MI 48504 tbd
## 354 Flint MI 48504
## 355 Pensacola FL 32506 wfgx_mytv
## 356 Pensacola FL 32506 gettv
## 357 Pensacola FL 32506 comet
## 358 Chattanooga TN 37408 wfli_cw
## 359 Chattanooga TN 37408 mytv
## 360 Chattanooga TN 37408 metv
## 361 Chattanooga TN 37408 charge
## 362 Albany GA 31706 wfxl_fox
## 363 Albany GA 31706 tbd
## 364 Albany GA 31706 comet
## 365 Albany GA 31706 charge
## 366 Gainesville FL 32606 wgfl_cbs
## 367 Gainesville FL 32606 wgfl-2_mytv
## 368 Gainesville FL 32606 tbd
## 369 Portland ME 4103 wgme_cbs
## 370 Portland ME 4103 tbd
## 371 Portland ME 4103 stadium
## 372 Traverse City MI 49684 wgtq_abc
## 373 Traverse City MI 49684 sbg_noimage
## 374 Traverse City MI 49684 comet
## 375 Traverse City MI 49684 wgtu_abc
## 376 Traverse City MI 49684 sbg_noimage
## 377 Macon GA 31201 sbg_noimage
## 378 Macon GA 31201 sbg_noimage
## 379 Macon GA 31201 comet
## 380 Rochester NY 14623 wham_abc
## 381 Rochester NY 14623 wham-2_cw
## 382 Rochester NY 14623 charge
## 383 East Peoria IL 61611 comet
## 384 Harrisburg PA 17110 whp_cbs
## 385 Harrisburg PA 17110 mytv
## 386 Harrisburg PA 17110 cw
## 387 Harrisburg PA 17110 comet
## 388 Champaign IL 61821 wicd_abc
## 389 Champaign IL 61821 comet
## 390 Champaign IL 61821 tbd
## 391 Champaign IL 61821 charge
## 392 Springfield IL 62703 wics_abc
## 393 Springfield IL 62703 comet
## 394 Springfield IL 62703 tbd
## 395 Springfield IL 62703 charge
## 396 Johnstown PA 15905 wjac_nbc
## 397 Johnstown PA 15905 metv
## 398 Johnstown PA 15905 comet
## 399 Johnstown PA 15905 tbd
## 400 Cranston RI 2920 wjar_nbc
## 401 Cranston RI 2920 metv
## 402 Cranston RI 2920 comet
## 403 Cranston RI 2920 tbd
## 404 Arlington VA 22209 wjla_abc
## 405 Arlington VA 22209 charge
## 406 Arlington VA 22209 comet
## 407 Arlington VA 22209 tbd
## 408 Mobile AL 36609 sbg_noimage
## 409 Mobile AL 36609 grit
## 410 Mobile AL 36609
## 411 Miamisburg OH 45342 wkef_abc
## 412 Miamisburg OH 45342 stadium
## 413 Miamisburg OH 45342 antenna
## 414 Miamisburg OH 45342 tbd
## 415 Cincinnati OH 45219 wkrc_cbs
## 416 Cincinnati OH 45219 wkrc-2_cw
## 417 Cincinnati OH 45219 stadium
## 418 Raleigh NC 27604 wlfl_cw
## 419 Raleigh NC 27604 stadium
## 420 Raleigh NC 27604 tbd
## 421 Raleigh NC 27604 antenna
## 422 Asheville NC 28803 wlos_abc
## 423 Asheville NC 28803 wlos-2_mytv
## 424 Asheville NC 28803 antenna
## 425 Asheville NC 28803 stadium
## 426 Green Bay WI 54304 wluk_fox
## 427 Green Bay WI 54304 antenna
## 428 Green Bay WI 54304 tbd
## 429 Madison WI 53719 wmsn_fox
## 430 Madison WI 53719 comet
## 431 Madison WI 53719 charge
## 432 Madison WI 53719 tbd
## 433 Greenville SC 29615 wmya_mytv
## 434 Greenville SC 29615 comet
## 435 Greenville SC 29615 tbd
## 436 Greenville SC 29615 charge
## 437 0
## 438 Winston-Salem NC 27101 wmyv_mytv
## 439 Winston-Salem NC 27101 gettv
## 440 Winston-Salem NC 27101 comet
## 441 Nashville TN 37228 wnab_cw
## 442 Nashville TN 37228 stadium
## 443 Nashville TN 37228 charge
## 444 Nashville TN 37228
## 445 Gainesville FL 32606 wnbw9_nbc
## 446 Gainesville FL 32606 charge
## 447 Gainesville FL 32606 comet
## 448 Gainesville FL 32606 antenna
## 449 Baltimore MD 21211 wnuv_cw
## 450 Baltimore MD 21211 antenna
## 451 Baltimore MD 21211 comet
## 452 Baltimore MD 21211 charge
## 453 Toledo OH 43615 wnwo_nbc
## 454 Toledo OH 43615 stadium
## 455 Toledo OH 43615 comet
## 456 Toledo OH 43615 tbd
## 457 Buffalo NY 14207 wnyo_mytv
## 458 Buffalo NY 14207 stadium
## 459 Buffalo NY 14207 comet
## 460 Buffalo NY 14207 gettv
## 461 San Antonio TX 78229 woai_nbc
## 462 San Antonio PA 78205 antenna
## 463 San Antonio TX 78205 charge
## 464 Plains PA 18702 wolf_fox
## 465 Plains PA 18702 wolf-2_cw
## 466 Plains PA 18702 wolf-3_mytv
## 467 Traverse City MI 49684 wpbn_nbc
## 468 Traverse City MI 49684 sbg_noimage
## 469 Traverse City MI 49684 comet
## 470 Conway SC 29526 wpde_abc
## 471 Conway SC 29526 sbg_noimage
## 472 Conway SC 29526 comet
## 473 Conway SC 29526 tbd
## 474 0
## 475 West Palm Beach FL 33407 wpec_cbs
## 476 West Palm Beach FL 33407 weathernation
## 477 West Palm Beach FL 33407 comet
## 478 Portland ME 4103 wpfo_fox
## 479 Portland ME 4103 charge
## 480 Portland ME 4103 comet
## 481 Portland ME 4103
## 482 Pittsburgh PA 15214 wpgh_fox
## 483 Pittsburgh PA 15214 antenna
## 484 Pittsburgh PA 15214 charge
## 485 Mobile AL 36609 wpmi_nbc
## 486 Mobile AL 36609 weathernation
## 487 Mobile AL 36609 stadium
## 488 Pittsburgh PA 15214 mytv
## 489 Pittsburgh PA 15214 stadium
## 490 Pittsburgh PA 15214 comet
## 491 Pittsburgh PA 15214 tbd
## 492 Plains PA 18702 wqmy_mytv
## 493 Plains PA 18702 wqmy-2_fox
## 494 Plains PA 18702 wqmy-3_cw
## 495 Raleigh NC 27604 wrdc_mytv
## 496 Raleigh NC 27604 charge
## 497 Raleigh NC 27604 comet
## 498 Schenectady NY 12309 wrgb_cbs
## 499 Schenectady NY 12309 tbd
## 500 Schenectady NY 12309 comet
## 501 Miamisburg OH 45342 wrgt_fox
## 502 Miamisburg OH 45342 wrgt-2_mytv
## 503 Miamisburg OH 45342 comet
## 504 Miamisburg OH 45342 charge
## 505 Richmond VA 23230 wrlh_fox
## 506 Richmond VA 23230 wrlh-2_mytv
## 507 Richmond VA 23230 comet
## 508 Richmond VA 23230 charge
## 509 0
## 510 Springfield IL 62703 wrsp_fox
## 511 Springfield IL 62703 metv
## 512 Springfield IL 62703 antenna
## 513 Mishawaka IN 46530 sbg_noimage
## 514 Mishawaka IN 46530 sbg_noimage
## 515 Lynchburg VA 24501 wset_abc
## 516 Lynchburg VA 24501 stadium
## 517 Lynchburg VA 24501 comet
## 518 Lynchburg VA 24501 tbd
## 519 Flint MI 48504 wsmh_fox
## 520 Flint MI 48504 antenna
## 521 Flint MI 48504 comet
## 522 Flint MI 48504 stadium
## 523 Syracuse NY 13203 wstm_nbc
## 524 Syracuse NY 13203 wstm-2_cw
## 525 Syracuse NY 13203 comet
## 526 Syracuse NY 13203 wstq_cw
## 527 Cincinnati OH 45219 wstr_mytv
## 528 Cincinnati OH 45219 antenna
## 529 Cincinnati OH 45219 comet
## 530 Cincinnati OH 45219 tbd
## 531 Plains PA 18702 wswb_cw
## 532 Plains PA 18702 metv
## 533 Plains PA 18702 comet
## 534 Plains PA 18702 stadium
## 535 Columbus OH 43215 wsyx_abc
## 536 Columbus OH 43215 mytv
## 537 Columbus OH 43215 antenna
## 538 West Palm Beach FL 33407 wtcn_mytv
## 539 West Palm Beach FL 33407 antenna
## 540 West Palm Beach FL 33407 tbd
## 541 West Palm Beach FL 33407
## 542 Savannah GA 31405 wtgs_fox
## 543 Savannah GA 31405 comet
## 544 Savannah GA 31405 antenna
## 545 Savannah GA 31405 tbd
## 546 Tallahassee FL 32312 wtlf_cw
## 547 Tallahassee FL 32312 comet
## 548 Tallahassee FL 32312 tbd
## 549 Tallahassee FL 32312 stadium
## 550 Tallahassee FL 32312
## 551 Traverse City MI 49684 wtom_nbc
## 552 Traverse City MI 49684 sbg_noimage
## 553 Traverse City MI 49684 comet
## 554 Mingo Junction OH 43938 wtov_nbc
## 555 Mingo Junction OH 43938 wtov_fox
## 556 Mingo Junction OH 43938 metv
## 557 Columbus OH 43215 wtte_fox
## 558 Columbus OH 43215 tbd
## 559 Columbus OH 43215 stadium
## 560 Birmingham AL 35209 wtto_cw
## 561 Birmingham AL 35209 antenna
## 562 Birmingham AL 35209 comet
## 563 Birmingham AL 35209 tbd
## 564 Chattanooga TN 37406 wtvc_abc
## 565 Chattanooga TN 37406 sbg_noimage
## 566 Chattanooga TN 37406 tbd
## 567 Syracuse NY 13203 wtvh_cbs
## 568 Syracuse NY 13203 charge
## 569 Syracuse NY 13203 tbd
## 570 West Palm Beach FL 33407 wtvx_cw
## 571 West Palm Beach FL 33407 azteca
## 572 West Palm Beach FL 33407 wtvx-3_mytv
## 573 Virginia Beach VA 23462 wtvz_mytv
## 574 Virginia Beach VA 23462 stadium
## 575 Virginia Beach VA 23462 comet
## 576 Virginia Beach VA 23462 tbd
## 577 Tallahassee FL 32312 wtwc_nbc
## 578 Tallahassee FL 32312 sbg_noimage
## 579 Tallahassee FL 32312 charge
## 580 Minneapolis MN 55403 wucw_cw
## 581 Minneapolis MN 55403 comet
## 582 Minneapolis MN 55403 charge
## 583 Minneapolis MN 55403 tbd
## 584 Rochester NY 14623 wuhf_fox
## 585 Rochester NY 14623 antenna
## 586 Rochester NY 14623 comet
## 587 Rochester NY 14623 tbd
## 588 Baltimore MD 21211 tbd
## 589 Baltimore MD 21211 grit
## 590 Baltimore MD 21211 sbg_noimage
## 591 Baltimore MD 21211 gettv
## 592 Buffalo NY 14207 wutv_fox
## 593 Buffalo NY 14207 tbd
## 594 Buffalo NY 14207 charge
## 595 Nashville TN 37228 wuxp_mytv
## 596 Nashville TN 37228 gettv
## 597 Nashville TN 37228 comet
## 598 Charleston WV 25301 wvah_fox
## 599 Charleston WV 25301 stadium
## 600 Charleston WV 25301 comet
## 601 Milwaukee WI 53224 wvtv_cw
## 602 Milwaukee WI 53224 mytv
## 603 Milwaukee WI 53224 comet
## 604 West Palm Beach FL 33407 wwhb_azteca
## 605 West Palm Beach FL 33407 charge
## 606 West Palm Beach FL 33407 stadium
## 607 Columbus OH 43215 wwho_cw
## 608 Columbus OH 43215 charge
## 609 Columbus OH 43215 comet
## 610 Conway SC 29526 wwmb_cw
## 611 Conway SC 29526 wwmb-2_cw
## 612 Conway SC 29526 stadium
## 613 Conway SC 29526
## 614 Kalamazoo MI 49008 wwmt_cbs
## 615 Kalamazoo MI 49008 wwmt-2_cw
## 616 Kalamazoo MI 49008 comet
## 617 Winston-Salem NC 27101 wxlv_abc
## 618 Winston-Salem NC 27101 stadium
## 619 Winston-Salem NC 27101 charge
## 620 Winston-Salem NC 27101 tbd
## 621 New Bern NC 28560 fox
## 622 28560 sbg_noimage
## 623 28560 charge
## 624 28560 stadium
## 625 Gainesville FL 32606 antenna
## 626 Nashville TN 37228 wztv_fox
## 627 Nashville TN 37228 tbd
## 628 Nashville TN 37228 antenna
## Station_URL
## 1 http://www.foxkansas.com, http://www.foxkansas.com
## 2 http://sbgi.net, http://sbgi.net
## 3 http://www.comettv.com/, http://www.comettv.com/
## 4 http://www.foxkansas.com, http://www.foxkansas.com
## 5
## 6 http://www.comettv.com/, http://www.comettv.com/
## 7 http://www.foxsanantonio.com/, http://www.foxsanantonio.com/
## 8 http://www.comettv.com/, http://www.comettv.com/
## 9
## 10
## 11
## 12
## 13 http://www.katu.com/, http://www.katu.com/
## 14
## 15 http://www.comettv.com/, http://www.comettv.com/
## 16
## 17 http://www.katv.com, http://www.katv.com
## 18 http://www.comettv.com/, http://www.comettv.com/
## 19
## 20
## 21 http://bakersfieldnow.com/, http://bakersfieldnow.com/
## 22
## 23
## 24
## 25 http://www.bakersfieldnow.com/fox58/schedule, http://www.bakersfieldnow.com/fox58/schedule
## 26
## 27 http://www.comettv.com/, http://www.comettv.com/
## 28
## 29 https://idahonews.com/, https://idahonews.com/
## 30
## 31
## 32 http://fox4beaumont.com/, http://fox4beaumont.com/
## 33
## 34 http://www.comettv.com/, http://www.comettv.com/
## 35
## 36
## 37 http://www.siouxlandnews.com/, http://www.siouxlandnews.com/
## 38
## 39
## 40
## 41
## 42 http://www.comettv.com/, http://www.comettv.com/
## 43
## 44
## 45 http://www.kcby.com, http://www.kcby.com
## 46
## 47
## 48
## 49
## 50
## 51
## 52 http://www.comettv.com/, http://www.comettv.com/
## 53
## 54
## 55
## 56 http://www.cbs4local.com/, http://www.cbs4local.com/
## 57
## 58
## 59
## 60
## 61
## 62 http://www.abcstlouis.com, http://www.abcstlouis.com
## 63
## 64
## 65
## 66 http://www.kdsm.com, http://www.kdsm.com
## 67 http://www.comettv.com/, http://www.comettv.com/
## 68
## 69
## 70
## 71
## 72
## 73
## 74
## 75 http://www.comettv.com/, http://www.comettv.com/
## 76 http://www.keprtv.com, http://www.keprtv.com
## 77
## 78
## 79
## 80 http://www.cbsaustin.com, http://www.cbsaustin.com
## 81 http://telemundoaustin.com, http://telemundoaustin.com
## 82 http://www.kfdm.com, http://www.kfdm.com
## 83
## 84
## 85 http://www.kfoxtv.com, http://www.kfoxtv.com
## 86 http://www.comettv.com/, http://www.comettv.com/
## 87
## 88
## 89 http://www.kmph.com/, http://www.kmph.com/
## 90
## 91
## 92
## 93 http://fox28iowa.com, http://fox28iowa.com
## 94
## 95
## 96
## 97 http://www.foxnebraska.com/, http://www.foxnebraska.com/
## 98 http://www.cbs2iowa.com, http://www.cbs2iowa.com
## 99
## 100 http://www.comettv.com/, http://www.comettv.com/
## 101
## 102
## 103 http://www.comettv.com/, http://www.comettv.com/
## 104
## 105 http://www.nebraska.tv/, http://www.nebraska.tv/
## 106
## 107
## 108
## 109
## 110
## 111
## 112
## 113 http://khqa.com/, http://khqa.com/
## 114
## 115 http://www.comettv.com/, http://www.comettv.com/
## 116 http://www.kimatv.com, http://www.kimatv.com
## 117
## 118
## 119
## 120 http://www.comettv.com/, http://www.comettv.com/
## 121
## 122
## 123
## 124
## 125 http://www.klewtv.com, http://www.klewtv.com
## 126
## 127 http://www.comettv.com/, http://www.comettv.com/
## 128 http://www.sbgi.net, http://www.sbgi.net
## 129
## 130 http://www.comettv.com/, http://www.comettv.com/
## 131 http://www.siouxlandnews.com/, http://www.siouxlandnews.com/
## 132
## 133 http://www.comettv.com/, http://www.comettv.com/
## 134 http://www.kmph.com/, http://www.kmph.com/
## 135
## 136 http://www.comettv.com/, http://www.comettv.com/
## 137
## 138 http://www.kmph.com, http://www.kmph.com
## 139
## 140 http://www.comettv.com/, http://www.comettv.com/
## 141
## 142 https://nbc16.com/, https://nbc16.com/
## 143
## 144 http://www.comettv.com/, http://www.comettv.com/
## 145 http://mytvwichita.com, http://mytvwichita.com
## 146
## 147
## 148
## 149 http://www.kmys.tv, http://www.kmys.tv
## 150
## 151
## 152 http://www.kmyu.tv, http://www.kmyu.tv
## 153
## 154 http://nevadasportsnet.com/, http://nevadasportsnet.com/
## 155
## 156 http://www.comettv.com/, http://www.comettv.com/
## 157 http://www.cwokc.com, http://www.cwokc.com
## 158
## 159 http://www.comettv.com/, http://www.comettv.com/
## 160 http://www.foxkansas.com, http://www.foxkansas.com
## 161
## 162 http://www.comettv.com/, http://www.comettv.com/
## 163 http://www.okcfox.com, http://www.okcfox.com
## 164
## 165
## 166 http://www.komonews.com, http://www.komonews.com
## 167 http://www.comettv.com/, http://www.comettv.com/
## 168
## 169 http://www.kunwtv.com, http://www.kunwtv.com
## 170 http://www.comettv.com/, http://www.comettv.com/
## 171
## 172
## 173 http://www.kpic.com, http://www.kpic.com
## 174
## 175
## 176 http://www.siouxlandnews.com, http://www.siouxlandnews.com
## 177
## 178
## 179
## 180 http://www.kptm.com, http://www.kptm.com
## 181
## 182 http://www.comettv.com/, http://www.comettv.com/
## 183 http://www.siouxlandnews.com, http://www.siouxlandnews.com
## 184
## 185
## 186
## 187 http://krcgtv.com/, http://krcgtv.com/
## 188 http://www.comettv.com/, http://www.comettv.com/
## 189
## 190
## 191 https://krcrtv.com/, https://krcrtv.com/
## 192
## 193
## 194
## 195 http://www.mynews4.com, http://www.mynews4.com
## 196
## 197
## 198
## 199 http://www.comettv.com/, http://www.comettv.com/
## 200
## 201 http://www.foxreno.com, http://www.foxreno.com
## 202
## 203
## 204 http://www.foxkansas.com, http://www.foxkansas.com
## 205
## 206 http://www.comettv.com/, http://www.comettv.com/
## 207 http://www.foxkansas.com, http://www.foxkansas.com
## 208
## 209 http://www.comettv.com/, http://www.comettv.com/
## 210 http://fox38corpuschristi.com/, http://fox38corpuschristi.com/
## 211
## 212
## 213 http://www.mynews3.com, http://www.mynews3.com
## 214
## 215
## 216
## 217 http://www.sbgi.net, http://www.sbgi.net
## 218
## 219 http://www.comettv.com/, http://www.comettv.com/
## 220
## 221 http://www.sbgi.net, http://www.sbgi.net
## 222 http://www.ktul.com, http://www.ktul.com
## 223 http://www.comettv.com/, http://www.comettv.com/
## 224
## 225
## 226 http://www.ktvl.com, http://www.ktvl.com
## 227 http://www.southernoregoncw.com, http://www.southernoregoncw.com
## 228 http://www.comettv.com/, http://www.comettv.com/
## 229
## 230
## 231
## 232
## 233 http://ktvo.com/, http://ktvo.com/
## 234
## 235 http://www.comettv.com/, http://www.comettv.com/
## 236
## 237
## 238
## 239 https://ktxs.com/, https://ktxs.com/
## 240
## 241
## 242
## 243 http://www.kunptv.com, http://www.kunptv.com
## 244
## 245
## 246 http://www.kunptv.com, http://www.kunptv.com
## 247
## 248
## 249 http://www.univisionseattle.com, http://www.univisionseattle.com
## 250
## 251
## 252 http://www.kunwtv.com, http://www.kunwtv.com
## 253 http://www.comettv.com/, http://www.comettv.com/
## 254
## 255
## 256 http://kutv.com, http://kutv.com
## 257
## 258 http://www.kval.com, http://www.kval.com
## 259
## 260
## 261 http://www.thecwlasvegas.tv, http://www.thecwlasvegas.tv
## 262 http://www.mylvtv.com/, http://www.mylvtv.com/
## 263
## 264
## 265
## 266 http://abc7amarillo.com/, http://abc7amarillo.com/
## 267
## 268 http://www.comettv.com/, http://www.comettv.com/
## 269
## 270 http://abc7amarillo.com/, http://abc7amarillo.com/
## 271
## 272 http://www.comettv.com/, http://www.comettv.com/
## 273
## 274 http://www.kunwtv.com, http://www.kunwtv.com
## 275 http://www.comettv.com/, http://www.comettv.com/
## 276
## 277
## 278
## 279
## 280
## 281
## 282 http://www.sbgi.net, http://www.sbgi.net
## 283 http://www.cw15kxvo.com, http://www.cw15kxvo.com
## 284
## 285
## 286
## 287 http://www.cwtreasurevalley.com, http://www.cwtreasurevalley.com
## 288
## 289 http://www.comettv.com/, http://www.comettv.com/
## 290
## 291
## 292 http://www.wabm68.com, http://www.wabm68.com
## 293
## 294
## 295
## 296 http://www.wach.com, http://www.wach.com
## 297
## 298 http://www.comettv.com/, http://www.comettv.com/
## 299
## 300 http://www.foxbaltimore.com, http://www.foxbaltimore.com
## 301
## 302
## 303
## 304 http://www.abc3340.com, http://www.abc3340.com
## 305
## 306
## 307
## 308 http://www.thecw46.com, http://www.thecw46.com
## 309
## 310
## 311 http://www.cw23tv.com, http://www.cw23tv.com
## 312
## 313
## 314 http://www.foxillinois.com, http://www.foxillinois.com
## 315
## 316
## 317 http://www.wchstv.com, http://www.wchstv.com
## 318
## 319
## 320
## 321 http://mytvcharleston.com/, http://mytvcharleston.com/
## 322 http://www.abcnews4.com, http://www.abcnews4.com
## 323
## 324
## 325 https://wcti12.com/, https://wcti12.com/
## 326 http://www.comettv.com/, http://www.comettv.com/
## 327
## 328
## 329 http://cw14online.com, http://cw14online.com
## 330 http://www.comettv.com/, http://www.comettv.com/
## 331
## 332
## 333
## 334 http://www.cwalbany.com, http://www.cwalbany.com
## 335
## 336
## 337
## 338
## 339
## 340 http://www.comettv.com/, http://www.comettv.com/
## 341 http://www.wtto21.com, http://www.wtto21.com
## 342
## 343
## 344 http://www.weartv.com, http://www.weartv.com
## 345
## 346
## 347
## 348
## 349
## 350
## 351 http://nbc25news.com/, http://nbc25news.com/
## 352
## 353
## 354
## 355 http://www.wfgxtv.com, http://www.wfgxtv.com
## 356
## 357 http://www.comettv.com/, http://www.comettv.com/
## 358 http://chattanoogacw.com, http://chattanoogacw.com
## 359
## 360
## 361
## 362 http://www.wfxl.com, http://www.wfxl.com
## 363
## 364 http://www.comettv.com/, http://www.comettv.com/
## 365
## 366 http://mycbs4.com/, http://mycbs4.com/
## 367
## 368
## 369 http://www.wgme.com, http://www.wgme.com
## 370
## 371
## 372 http://www.upnorthlive.com, http://www.upnorthlive.com
## 373
## 374 http://www.comettv.com/, http://www.comettv.com/
## 375 http://www.upnorthlive.com, http://www.upnorthlive.com
## 376
## 377 http://www.wgxa.tv, http://www.wgxa.tv
## 378
## 379 http://www.comettv.com/, http://www.comettv.com/
## 380 http://www.13wham.com, http://www.13wham.com
## 381 http://www.cwrochester.com, http://www.cwrochester.com
## 382
## 383 http://www.comettv.com/, http://www.comettv.com/
## 384 http://www.local21news.com, http://www.local21news.com
## 385
## 386 http://www.cwcentralpa.com, http://www.cwcentralpa.com
## 387 http://www.comettv.com/, http://www.comettv.com/
## 388 http://www.wicd15.com, http://www.wicd15.com
## 389 http://www.comettv.com/, http://www.comettv.com/
## 390
## 391
## 392 http://www.wics.com, http://www.wics.com
## 393 http://www.comettv.com/, http://www.comettv.com/
## 394
## 395
## 396 http://www.wjactv.com, http://www.wjactv.com
## 397
## 398 http://www.comettv.com/, http://www.comettv.com/
## 399
## 400 http://www.turnto10.com, http://www.turnto10.com
## 401
## 402 http://www.comettv.com/, http://www.comettv.com/
## 403
## 404 http://www.wjla.com, http://www.wjla.com
## 405
## 406 http://www.comettv.com/, http://www.comettv.com/
## 407
## 408 http://www.utv44.com, http://www.utv44.com
## 409
## 410
## 411 https://dayton247now.com/, https://dayton247now.com/
## 412
## 413
## 414
## 415 http://www.local12.com, http://www.local12.com
## 416 http://cwcincinnati.com/, http://cwcincinnati.com/
## 417
## 418 http://www.raleighcw.com, http://www.raleighcw.com
## 419
## 420
## 421
## 422 http://www.wlos.com, http://www.wlos.com
## 423
## 424
## 425
## 426 http://fox11online.com, http://fox11online.com
## 427
## 428
## 429 http://www.fox47.com, http://www.fox47.com
## 430 http://www.comettv.com/, http://www.comettv.com/
## 431
## 432
## 433 http://www.my40.tv, http://www.my40.tv
## 434 http://www.comettv.com/, http://www.comettv.com/
## 435
## 436
## 437
## 438 http://www.my48.tv, http://www.my48.tv
## 439
## 440 http://www.comettv.com/, http://www.comettv.com/
## 441 http://www.cw58.tv, http://www.cw58.tv
## 442
## 443
## 444
## 445 http://mycbs4.com/, http://mycbs4.com/
## 446
## 447 http://www.comettv.com/, http://www.comettv.com/
## 448
## 449 http://www.cwbaltimore.com, http://www.cwbaltimore.com
## 450
## 451 http://www.comettv.com/, http://www.comettv.com/
## 452
## 453 http://nbc24.com/, http://nbc24.com/
## 454
## 455 http://www.comettv.com/, http://www.comettv.com/
## 456
## 457 http://www.mytvbuffalo.com, http://www.mytvbuffalo.com
## 458
## 459 http://www.comettv.com/, http://www.comettv.com/
## 460
## 461 http://www.news4sanantonio.com, http://www.news4sanantonio.com
## 462
## 463
## 464 http://www.FOX56.com, http://www.FOX56.com
## 465
## 466
## 467 http://www.upnorthlive.com, http://www.upnorthlive.com
## 468
## 469 http://www.comettv.com/, http://www.comettv.com/
## 470 http://wpde.com/, http://wpde.com/
## 471
## 472 http://www.comettv.com/, http://www.comettv.com/
## 473
## 474
## 475 http://www.cbs12.com, http://www.cbs12.com
## 476
## 477 http://www.comettv.com/, http://www.comettv.com/
## 478 https://fox23maine.com/ , https://fox23maine.com/
## 479
## 480 http://www.comettv.com/, http://www.comettv.com/
## 481
## 482 http://www.wpgh53.com, http://www.wpgh53.com
## 483
## 484
## 485 https://mynbc15.com/, https://mynbc15.com/
## 486
## 487
## 488 http://www.22thepoint.com, http://www.22thepoint.com
## 489
## 490 http://www.comettv.com/, http://www.comettv.com/
## 491
## 492 http://www.FOX56.com, http://www.FOX56.com
## 493
## 494
## 495 http://www.myrdctv.com, http://www.myrdctv.com
## 496
## 497 http://www.comettv.com/, http://www.comettv.com/
## 498 http://www.cbs6albany.com, http://www.cbs6albany.com
## 499
## 500 http://www.comettv.com/, http://www.comettv.com/
## 501 https://dayton247now.com/, https://dayton247now.com/
## 502 http://mytvdayton.com/, http://mytvdayton.com/
## 503 http://www.comettv.com/, http://www.comettv.com/
## 504
## 505 http://www.foxrichmond.com, http://www.foxrichmond.com
## 506 http://www.mytvrichmond.com, http://www.mytvrichmond.com
## 507 http://www.comettv.com/, http://www.comettv.com/
## 508
## 509
## 510 http://www.foxillinois.com, http://www.foxillinois.com
## 511
## 512
## 513 http://www.wsbt.com, http://www.wsbt.com
## 514
## 515 http://www.wset.com, http://www.wset.com
## 516
## 517 http://www.comettv.com/, http://www.comettv.com/
## 518
## 519 http://www.wsmh.com, http://www.wsmh.com
## 520
## 521 http://www.comettv.com/, http://www.comettv.com/
## 522
## 523 http://www.cnycentral.com, http://www.cnycentral.com
## 524
## 525 http://www.comettv.com/, http://www.comettv.com/
## 526 http://www.cnycentral.com, http://www.cnycentral.com
## 527 http://www.star64.tv, http://www.star64.tv
## 528
## 529 http://www.comettv.com/, http://www.comettv.com/
## 530
## 531 http://www.thecw38.com, http://www.thecw38.com
## 532
## 533 http://www.comettv.com/, http://www.comettv.com/
## 534
## 535 http://www.abc6onyourside.com, http://www.abc6onyourside.com
## 536
## 537
## 538 http://www.my15wtcn.com, http://www.my15wtcn.com
## 539
## 540
## 541
## 542 http://www.foxsavannah.com, http://www.foxsavannah.com
## 543 http://www.comettv.com/, http://www.comettv.com/
## 544
## 545
## 546
## 547 http://www.comettv.com/, http://www.comettv.com/
## 548
## 549
## 550
## 551 http://www.upnorthlive.com, http://www.upnorthlive.com
## 552
## 553 http://www.comettv.com/, http://www.comettv.com/
## 554 http://www.wtov9.com, http://www.wtov9.com
## 555
## 556
## 557 http://www.myfox28columbus.com, http://www.myfox28columbus.com
## 558
## 559
## 560 http://www.wtto21.com, http://www.wtto21.com
## 561
## 562 http://www.comettv.com/, http://www.comettv.com/
## 563
## 564 http://www.foxchattanooga.com, http://www.foxchattanooga.com
## 565
## 566
## 567 http://www.cnycentral.com, http://www.cnycentral.com
## 568
## 569
## 570 http://www.cw34.com, http://www.cw34.com
## 571
## 572
## 573 http://www.mytvz.com, http://www.mytvz.com
## 574
## 575 http://www.comettv.com/, http://www.comettv.com/
## 576
## 577 http://www.wtwc40.com, http://www.wtwc40.com
## 578 http://fox49.tv/, http://fox49.tv/
## 579
## 580 http://www.thecw23.com, http://www.thecw23.com
## 581 http://www.comettv.com/, http://www.comettv.com/
## 582
## 583
## 584 http://www.foxrochester.com, http://www.foxrochester.com
## 585
## 586 http://www.comettv.com/, http://www.comettv.com/
## 587
## 588 http://www.mytvbaltimore.com, http://www.mytvbaltimore.com
## 589
## 590
## 591
## 592 http://www.wutv29.com, http://www.wutv29.com
## 593
## 594
## 595 http://www.mytv30web.com, http://www.mytv30web.com
## 596
## 597 http://www.comettv.com/, http://www.comettv.com/
## 598 http://www.wvah.com, http://www.wvah.com
## 599
## 600 http://www.comettv.com/, http://www.comettv.com/
## 601 http://www.super18tv.com, http://www.super18tv.com
## 602
## 603 http://www.comettv.com/, http://www.comettv.com/
## 604 http://www.azteca48.com, http://www.azteca48.com
## 605
## 606
## 607 http://www.cwcolumbus.com, http://www.cwcolumbus.com
## 608
## 609 http://www.comettv.com/, http://www.comettv.com/
## 610 http://wpde.com/, http://wpde.com/
## 611
## 612
## 613
## 614 http://www.wwmt.com, http://www.wwmt.com
## 615 http://cw7michigan.com, http://cw7michigan.com
## 616 http://www.comettv.com/, http://www.comettv.com/
## 617 http://www.abc45.com, http://www.abc45.com
## 618
## 619
## 620
## 621
## 622
## 623
## 624
## 625 http://www.sbgi.net, http://www.sbgi.net
## 626 http://www.fox17.com, http://www.fox17.com
## 627
## 628
## Station_Phone_Number Station_Fax_Number Actual_RF_Channel
## 1 316-942-2424 316-942-8927 17
## 2 316-942-2424 316-942-8927 17
## 3 316-942-2424 316-942-8927 17
## 4 316-942-2424 316-942-8927 31
## 5 316-942-2424 316-942-8927 31
## 6 316-942-2424 316-942-8927 31
## 7 210-366-1129 210-377-4758 30
## 8 210-366-1129 210-377-4758 30
## 9 210-366-1129 210-377-4758 30
## 10 707-444-2323 707-445-9451 22
## 11 22
## 12 22
## 13 503-231-4222 503-231-4233 24
## 14 503-231-4222 503-231-4233 24
## 15 503-231-4222 503-231-4233 24
## 16 503-231-4222 503-231-4233 24
## 17 501-324-7777 22
## 18 501-324-7777 22
## 19 501-324-7777 22
## 20 501-324-7777 22
## 21 661-327-7955 661-327-5603 33
## 22 661-327-7955 661-327-5603 33
## 23 661-327-7955 661-327-5603 33
## 24 661-327-7955 661-327-5603 33
## 25 661-327-7955 661-327-5603 29
## 26 661-327-7955 661-327-5603 29
## 27 661-327-7955 661-327-5603 29
## 28 661-327-7955 661-327-5603 29
## 29 208-472-2222 208-472-2212 9
## 30 208-472-2222 208-472-2212 9
## 31 208-472-2222 208-472-2212 9
## 32 409-840-4444 27
## 33 409-840-4444 27
## 34 409-840-4444 27
## 35 409-840-4444
## 36
## 37 712-277-3554 712-255-5250 21
## 38 712-277-3554 712-255-5250 21
## 39 712-277-3554 712-255-5250 21
## 40 712-277-3554 712-255-5250 21
## 41 707-444-2323 707-445-9451 28
## 42 28
## 43 28
## 44 28
## 45 541-269-1111 541-269-7464 11
## 46 541-269-1111 541-269-7464 11
## 47 541-269-1111 541-269-7464 11
## 48 406-755-5239 406-752-8002 9
## 49 9
## 50 9
## 51 530-243-7777 530-243-0217 17
## 52 17
## 53 17
## 54 17
## 55 17
## 56 915-833-8585 915-833-8973 18
## 57 915-833-8585 915-833-8973 18
## 58 915-833-8585 915-833-8973 18
## 59 406-586-0296 406-586-0554 29
## 60 29
## 61 29
## 62 314-436-3030 314-259-5709 31
## 63 314-436-3030 314-259-5709 31
## 64 314-436-3030 314-259-5709 31
## 65 314-436-3030 314-259-5709 31
## 66 515-287-1717 515-287-0064 16
## 67 515-287-1717 515-287-0064 16
## 68 515-287-1717 515-287-0064 16
## 69 515-287-1717 515-287-0064 16
## 70 707-444-2323 707-445-9451 29
## 71 29
## 72 406-721-2063 406-721-2083 13
## 73 13
## 74 13
## 75 775-777-8500 775-777-7758 10
## 76 509-547-0547 509-547-2845 18
## 77 509-547-0547 509-547-2845 18
## 78 509-547-0547 509-547-2845 18
## 79 707-444-2323 707-445-9451 31
## 80 512-835-0042 512-837-6753 34
## 81 512-835-0042 512-837-6753 34
## 82 409-892-6622 409-892-6665 15
## 83 409-892-6622 409-892-6665 15
## 84 409-892-6622 409-892-6665 15
## 85 915-833-8585 915-833-8973 15
## 86 915-833-8585 915-833-8973 15
## 87 915-833-8585 915-833-8973 15
## 88 915-833-8585 915-833-8973
## 89 559-255-2600 559-255-9626 36
## 90 559-255-2600 559-255-9626 36
## 91 559-255-2600 559-255-9626 36
## 92 559-255-2600 559-255-9626 36
## 93 800-642-6140 319-395-0987 27
## 94 800-642-6140 319-395-0987 27
## 95 800-642-6140 319-395-0987 27
## 96 800-642-6140 319-395-0987
## 97 402-466-5694 15
## 98 800-642-6140 319-395-0987 29
## 99 800-642-6140 319-395-0987 29
## 100 800-642-6140 319-395-0987 29
## 101 800-642-6140 319-395-0987
## 102 956-366-4444 956-366-4494 18
## 103 956-366-4444 956-366-4494 18
## 104 956-366-4444 956-366-4494
## 105 308-743-2494 13
## 106 308-743-2494 13
## 107 308-743-2494
## 108 308-743-2494 27
## 109 308-743-2494 27
## 110 308-743-2494
## 111 308-743-2494
## 112 308-743-2494
## 113 217-222-6200 217-228-3164 7
## 114 217-222-6200 217-228-3164 7
## 115 217-222-6200 217-228-3164 7
## 116 509-575-0029 509-248-1218 33
## 117 509-575-0029 509-248-1218 33
## 118 509-575-0029 509-248-1218 33
## 119 801-537-1414 19
## 120 801-537-1414 19
## 121 801-537-1414 19
## 122 801-537-1414 19
## 123 530-243-7777 530-243-0217 30
## 124 530-243-7777 530-243-0217 30
## 125 208-746-2636 208-746-4819 32
## 126 208-746-2636 208-746-4819 32
## 127 208-746-2636 208-746-4819 32
## 128 541-746-1600 541-747-0866 22
## 129 541-746-1600 541-747-0866 22
## 130 541-746-1600 541-747-0866 22
## 131 712-277-3554 712-255-5250 32
## 132 712-277-3554 712-255-5250 32
## 133 712-277-3554 712-255-5250 32
## 134 559-255-2600 559-255-9626 28
## 135 559-255-2600 559-255-9626 28
## 136 559-255-2600 559-255-9626 28
## 137 559-255-2600 559-255-9626 28
## 138 559-255-2600 559-255-9626 19
## 139 559-255-2600 559-255-9626 19
## 140 559-255-2600 559-255-9626 19
## 141 559-255-2600 559-255-9626 19
## 142 541-746-1600 541-747-0866 17
## 143 541-746-1600 541-747-0866 17
## 144 541-746-1600 541-747-0866 17
## 145 316-942-2424 316-942-8927 35
## 146 316-942-2424 316-942-8927 35
## 147 316-942-2424 316-942-8927 35
## 148 316-942-2424 316-942-8927
## 149 210-366-1129 210-377-4758 32
## 150 210-366-1129 210-377-4758 32
## 151 210-366-1129 210-377-4758 32
## 152 801-839-1139 801-839-1101 9
## 153 801-839-1139 801-839-1101 9
## 154 775-856-1100 775-856-3916 20
## 155 775-856-1100 775-856-3916 20
## 156 775-856-1100 775-856-3916 20
## 157 405-843-2525 405-478-4343 33
## 158 405-843-2525 405-478-4343 33
## 159 405-843-2525 405-478-4343 33
## 160 316-942-2424 316-942-8927 14
## 161 316-942-2424 316-942-8927 14
## 162 316-942-2424 316-942-8927 14
## 163 405-843-2525 405-478-4343 24
## 164 405-843-2525 405-478-4343 24
## 165 405-843-2525 405-478-4343 24
## 166 206-404-4000 206-404-4422 30
## 167 206-404-4000 206-404-4422 30
## 168 206-404-4000 206-404-4422 30
## 169 509-575-0029 16
## 170 503-241-2411 16
## 171 503-241-2411 16
## 172 503-241-2411 16
## 173 541-672-4481 541-672-4482 19
## 174 541-672-4481 541-672-4482 19
## 175 541-672-4481 541-672-4482 19
## 176 712-277-3554 712-255-5250 30
## 177 712-277-3554 712-255-5250 30
## 178 712-277-3554 712-255-5250 30
## 179 712-277-3554 712-255-5250 30
## 180 402-558-4200 402-554-4279 26
## 181 402-558-4200 402-554-4279 26
## 182 402-558-4200 402-554-4279 26
## 183 712-277-3554 712-255-5250 31
## 184 712-277-3554 712-255-5250
## 185 712-277-3554 712-255-5250
## 186 712-277-3554 712-255-5250
## 187 573-896-5144 573-896-5193 12
## 188 573-896-5144 573-896-5193 12
## 189 573-896-5144 573-896-5193 12
## 190 573-896-5144 573-896-5193 12
## 191 530-243-7777 7
## 192 7
## 193 7
## 194 7
## 195 775-322-4444 775-856-3916 7
## 196 775-322-4444 775-856-3916 7
## 197 775-322-4444 775-856-3916 7
## 198 530-243-7777 530-243-0217 21
## 199 21
## 200 21
## 201 775-856-1100 775-856-3916 23
## 202 775-856-1100 775-856-3916 23
## 203 775-856-1100 775-856-3916 23
## 204 316-942-2424 316-942-8927 26
## 205 316-942-2424 316-942-8927 26
## 206 316-942-2424 316-942-8927 26
## 207 316-942-2424 316-942-8927 29
## 208 316-942-2424 316-942-8927 29
## 209 316-942-2424 316-942-8927 29
## 210 361-600-3800 19
## 211 361-600-3800 19
## 212 361-600-3800 19
## 213 702-642-3333 22
## 214 22
## 215 22
## 216 22
## 217 541-746-1600 541-747-0866 36
## 218 541-746-1600 541-747-0866 36
## 219 541-746-1600 541-747-0866 36
## 220 40
## 221 361-600-3800
## 222 918-445-8888 918-445-9354 10
## 223 918-445-8888 918-445-9354 10
## 224 918-445-8888 918-445-9354 10
## 225 918-445-8888 918-445-9354
## 226 541-773-7373 541-779-0451 10
## 227 541-773-7373 541-779-0451 10
## 228 541-773-7373 541-779-0451 10
## 229 541-773-7373 541-779-0451 10
## 230 406-494-7603 406-494-2572 6
## 231 6
## 232 6
## 233 660-627-3333 660-627-1885 33
## 234 660-627-3333 660-627-1885 33
## 235 660-627-3333 660-627-1885 33
## 236 325-232-8406 22
## 237 22
## 238 22
## 239 325-677-2281 20
## 240 20
## 241 20
## 242 530-243-7777 530-243-0217 27
## 243 503-231-4222 503-231-4233 16
## 244 503-231-4222 503-231-4233 16
## 245 503-231-4222 503-231-4233 16
## 246 503-231-4222 503-231-4233 36
## 247 503-231-4222 503-231-4233 36
## 248 503-231-4222 503-231-4233 36
## 249 206-404-5867 24
## 250 206-404-5867 24
## 251 206-404-5867 24
## 252 509-575-0029 509-248-1218 30
## 253 509-575-0029 509-248-1218 30
## 254 509-575-0029 509-248-1218 30
## 255 509-575-0029 509-248-1218 30
## 256 801-839-1139 801-839-1101 34
## 257 801-839-1139 801-839-1101 34
## 258 541-342-4961 541-342-2635 13
## 259 541-342-4961 541-342-2635 13
## 260 541-342-4961 541-342-2635 13
## 261 702-382-2121 702-873-1233 29
## 262 702-382-2121 702-873-1233 29
## 263 702-382-2121 702-873-1233 29
## 264 702-382-2121 702-873-1233 29
## 265 29
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## 627 615-259-5617 615-259-3962 15
## 628 615-259-5617 615-259-3962 15
## News_Schedule_Weekday
## 1
## 2
## 3
## 4
## 5
## 6
## 7 0500-0900, 1100-1200, 2100-2200
## 8
## 9
## 10 17:00-17:30, 18:00-18:30, 22:00-22:30
## 11
## 12
## 13 0430-0700,1600-1730,1800-1900,2300-2330
## 14
## 15
## 16
## 17 0430-0700, 0900-1000, 1130-1200, 1700-1730, 1800-1830,2200-2230
## 18
## 19
## 20
## 21 0430-0500,0500-0700,1200-1230,1700-1830,2300-2330
## 22
## 23
## 24
## 25 0700-0900,1230-1300,2200-2300
## 26
## 27
## 28
## 29 0500-0700,1100-1130,1600-1700,1730-1800,2200-2230
## 30
## 31
## 32 0700-0900,1730-1800,2100-2200
## 33
## 34
## 35
## 36
## 37
## 38
## 39
## 40
## 41
## 42
## 43
## 44
## 45
## 46
## 47
## 48 0500-0700, 1700-1730, 1800-1830, 2200-2235
## 49
## 50
## 51 22:00-22:30
## 52
## 53
## 54
## 55
## 56 0500-0700, 1200-1230, 1730-1800,2200-2230
## 57
## 58
## 59
## 60
## 61
## 62
## 63
## 64
## 65
## 66 2100-2200
## 67
## 68
## 69
## 70
## 71
## 72 0500-0700, 1700-1730, 1800-1830, 2200-2235
## 73
## 74
## 75 0600-0630
## 76 0500-0700,1700-1730,1800-1830,2300-2335
## 77
## 78
## 79
## 80 0430-0700,1700-1730,1800-1830,1830-1900,2200-2230
## 81 1700-1730,2200-2230
## 82 0430-0700,1200-1230,1700-1730,1800-1830,2200-2235
## 83
## 84
## 85 0500-0900,1700-1800,2100-2200
## 86
## 87
## 88
## 89
## 90
## 91
## 92
## 93 0700-0800,2100-2200
## 94
## 95
## 96
## 97 2100-2130
## 98 0500-0700,1200-1230,1700-1730,1800-1830,2200-2230
## 99
## 100
## 101
## 102
## 103
## 104
## 105 0500-0700,1200-1300,1700-1730,1800-1830,1830-1900,2200-2235
## 106
## 107
## 108
## 109
## 110
## 111
## 112
## 113 0500-0700,1700-1730,1800-1830,2200-2230
## 114
## 115
## 116 1700-1730, 1800-1830
## 117
## 118
## 119 0800-0900,2100-2130
## 120
## 121
## 122
## 123
## 124
## 125 1700-1730,1800-1830,2300-2330
## 126
## 127
## 128
## 129
## 130
## 131 0500-0700,1700-1730,2200-2235
## 132
## 133
## 134 0500-1000,1130-1200,1900-2000,2200-2300
## 135
## 136
## 137
## 138
## 139
## 140
## 141
## 142 0500-0700, 1700-1800,1830-1900,2300-2330
## 143
## 144
## 145
## 146
## 147
## 148
## 149
## 150
## 151
## 152 1900-1930,2230-2300
## 153
## 154
## 155
## 156
## 157
## 158
## 159
## 160
## 161
## 162
## 163 0500-0900,1100-1200,1700-1800,2100-2130
## 164
## 165
## 166 0430-0700,1100-1200,1600-1730,1800-1900,2300-2335
## 167
## 168
## 169 1800-1830
## 170
## 171
## 172
## 173
## 174
## 175
## 176 2100-2130
## 177
## 178
## 179
## 180 2100-2200
## 181
## 182
## 183
## 184
## 185
## 186
## 187 0430-0500,0500-0700,1200-1230,1700-1730,1800-1830,2200-2230
## 188
## 189
## 190
## 191 5:00-7:00; 17:00-1800, 18:30-1900, 23:00-23:35
## 192
## 193
## 194
## 195 0500-0700,1600-1630, 1700-1730, 1800-1900, 2300-2330
## 196
## 197
## 198
## 199
## 200
## 201 0700-0900,1200-1230
## 202
## 203
## 204 2100-2130
## 205
## 206
## 207
## 208
## 209
## 210
## 211
## 212
## 213 0400-0700, 1200-1300,1500-1600,1700-1730, 1800-1900,1900-1930, 2300-2330
## 214
## 215
## 216
## 217
## 218
## 219
## 220
## 221
## 222 0430-0700, 1100-1200, 1600-1630, 1700-1730, 1800-1830, 2200-2230
## 223
## 224
## 225
## 226 0455-0700,1200-1230,1700-1730,1800-1835,2300-2335
## 227
## 228
## 229
## 230 0500-0700, 1700-1730, 18-1830, 2200-2235
## 231
## 232
## 233 0530-0700,1700-1730,1800-0830,2200-2235
## 234 1830-1900
## 235
## 236 0500-0700,1700-1730, 1800-1830,2200-2230
## 237
## 238
## 239 0500-0700,1700-1730 1800-1830,2200-2230
## 240
## 241
## 242
## 243 1800-1830, 2300-2330
## 244
## 245
## 246 1800-1830, 2300-2330
## 247
## 248
## 249 1800-1830, 2200-2230
## 250
## 251
## 252 1830-1900, 2330-2400
## 253
## 254
## 255
## 256 0430-0800,1200-1300,1300-1400,1700-1730,1800-1830,2200-2235
## 257
## 258 0500-0700, 0900-1000, 1200-1230,1700-1730,1800-1830,2300-2330
## 259
## 260
## 261 0700-0900,1000-1030
## 262
## 263
## 264
## 265
## 266
## 267
## 268
## 269
## 270 0430-0700,1100-1130,1700-1730,1800-1830,2200-2235
## 271
## 272
## 273
## 274 1800-1830
## 275
## 276
## 277
## 278
## 279
## 280
## 281
## 282
## 283
## 284
## 285
## 286
## 287 0700-0800,2100-2130
## 288
## 289
## 290
## 291
## 292
## 293
## 294
## 295
## 296 0500-0900,1700-1730, 2200-2300
## 297
## 298
## 299
## 300 0430-1000,1600-1800,2200-2330
## 301
## 302
## 303
## 304 0430-0700, 1100-1130, 1130-1200, 1600-1630, 1630-1700, 1700-1730, 1800-1830, 2200-2235
## 305
## 306
## 307
## 308
## 309
## 310
## 311 0600-0800, 2100-2200
## 312
## 313
## 314 1730-1800,2100-2200
## 315
## 316
## 317 0500-0700,1200-1300,1700-1830,2300-2330
## 318
## 319
## 320
## 321
## 322 0430-0700, 1700-1800, 1800-1830, 1900-1930, 2300-2330
## 323
## 324
## 325 04:30-7:00, 12:00-12:30, 17:00-18:30, 23:00-23:35
## 326
## 327
## 328
## 329
## 330
## 331
## 332
## 333
## 334 0700-0800,2200-2230,2230-2300
## 335
## 336
## 337
## 338 0430-0700, 1200-1300, 1700-1830, 2300-2335
## 339
## 340
## 341
## 342
## 343
## 344 0430-0700,1100-1130,1600-1700,1700-1730,1800-1830,1830,2200-2300
## 345
## 346
## 347 2200-2300
## 348
## 349
## 350
## 351 0500-0700, 1700-1830,2300-2330
## 352
## 353
## 354
## 355 2100-2130
## 356
## 357
## 358
## 359
## 360
## 361
## 362 2200-2300
## 363
## 364
## 365
## 366 1800-1830, 2300-2330
## 367
## 368
## 369 0430-0700, 1200-1230, 1700-1830, 1900-1930, 2300-2330
## 370
## 371
## 372
## 373
## 374
## 375 1830-1900,2300-2330
## 376
## 377 0700-0900, 1700-1800,2200-2300
## 378 0600-0700, 1800-1830, 2300-2335
## 379
## 380 0500-0700,1200-1230,1700-1830,2300-2330
## 381
## 382
## 383
## 384 0500-0700, 12-1230, 1700-1830, 2300-2335
## 385
## 386 2200-2230
## 387
## 388
## 389
## 390
## 391
## 392 0500-0700,1100-1130,1700-1730,1800-1830,2200-2235
## 393
## 394
## 395
## 396 0500-0700,1200-1230,1700-1800,1800-1830,2300-2330
## 397
## 398
## 399
## 400 0430-0500, 0500-0530, 0530-0600, 0600-0700,1200-1230, 1700-1730,1730-1800, 1800-1830,1900-19:30, 22:00-22:30 (METV) 2300-2330
## 401
## 402
## 403
## 404 600-1000, 1000-1100, 1100-1200, 1400-1900, 2000-2100, 2200-2230.
## 405
## 406
## 407
## 408 1900-1930
## 409
## 410
## 411 0427-0700,1800-1830,2300-2335
## 412
## 413
## 414
## 415 0430-0700, 0900-1000, 1200-1230,1600-1830,2300-2335
## 416
## 417
## 418 2200-2230
## 419
## 420
## 421
## 422 0430-0700,1200-1300,1700-1830,2300-2330
## 423
## 424
## 425
## 426 0430-0900, 1700-1800, 2100-2200, 2200-2230
## 427
## 428
## 429 2100-2200
## 430
## 431
## 432
## 433 1830-1900,2200-2235
## 434
## 435
## 436
## 437
## 438
## 439
## 440
## 441 1600-1630
## 442
## 443
## 444
## 445 1800-1830 2300-2330
## 446
## 447
## 448
## 449
## 450
## 451
## 452
## 453 0630-0700,1800-1830,2300-2330
## 454
## 455
## 456
## 457
## 458
## 459
## 460
## 461 0430-0700,1200-1300,1700-1730,1800-1830,1830-1900,2200-2230
## 462
## 463
## 464 2200-2300
## 465
## 466
## 467 0430-0700,1700-1830,2300-2330
## 468
## 469
## 470 0500-0700,1700-1800,1800-1830,1900-1930,2300-2330
## 471
## 472
## 473
## 474
## 475 0430-0700,0900-1000,1200-1230,1500-1530,1700-1800,1800-1830,2300-2330
## 476
## 477
## 478 0700-0900, 2200-2300
## 479
## 480
## 481
## 482 2200-2300
## 483
## 484
## 485 0500-0700,1200-1230,1700-1730,1800-1830,2200-2230
## 486
## 487
## 488
## 489
## 490
## 491
## 492
## 493
## 494
## 495
## 496
## 497
## 498 0430-0700,1200-1230,1700-1900,2300-2330
## 499
## 500
## 501 0700-0900,1830-1900,2200-2300
## 502
## 503
## 504
## 505 0700-0800, 2200-2300
## 506
## 507
## 508
## 509
## 510 0700-0800,1730-1800,2100-2200
## 511
## 512
## 513 0500-0700,1600-1700, 1700-1730, 1730-1800, 1800-1830, 1200-1230, 2300-2330
## 514 0700-0900,2200-2300
## 515 0500-0700, 1200-1230, 1700-1730, 1730-1800, 1800-1830, 1900-1930, 2300-2330
## 516
## 517
## 518
## 519 0700-0900,2200-2300
## 520
## 521
## 522
## 523 0400-0700,1700-1830,2300-2330
## 524
## 525
## 526 2200-2300
## 527 0700-0900,2200-2230
## 528
## 529
## 530
## 531
## 532
## 533
## 534
## 535 0425-0700,1200-1300,1700-1830, 19:00-19:30, 2300-2335
## 536
## 537
## 538
## 539
## 540
## 541
## 542 2200-2300
## 543
## 544
## 545
## 546
## 547
## 548
## 549
## 550
## 551
## 552
## 553
## 554 0500-0700,1200-1230,1700-1830,2300-2335
## 555 0700-0900,2200-2300
## 556
## 557 0630-1000, 2200-2300
## 558
## 559
## 560
## 561
## 562
## 563
## 564 0430-0700, 1200-1230,1700-1830,2300-2335
## 565 0700-0900,2200-2230
## 566
## 567 0500-0700,1200-1230,1700-1830,2300-2330
## 568
## 569
## 570 2200-2230
## 571
## 572
## 573
## 574
## 575
## 576
## 577
## 578
## 579
## 580
## 581
## 582
## 583
## 584 0700-0900,2200-23000
## 585
## 586
## 587
## 588
## 589
## 590
## 591
## 592 2200-2230
## 593
## 594
## 595
## 596
## 597
## 598 0600-0800,1830-1900,2200-2230
## 599
## 600
## 601
## 602
## 603
## 604 1800-1830 (M-W-F)
## 605
## 606
## 607
## 608
## 609
## 610 0700-0800
## 611
## 612
## 613
## 614 0430-0700,1200-1230,1700-1830,2300-2330
## 615 2200-2230
## 616
## 617 0630-0700,, 1800-1830, 2300-2330
## 618
## 619
## 620
## 621 7:00-8:00, 22:00-23:00
## 622
## 623
## 624
## 625
## 626 0400-0900, 1730-1800,2100-2235
## 627
## 628
## News_Schedule_Saturday
## 1
## 2
## 3
## 4
## 5
## 6
## 7 2100-2200
## 8
## 9
## 10
## 11
## 12
## 13 0700-0900,1700-1730,1800-1830,2300-2330
## 14
## 15
## 16
## 17 0800-1000, 1800-1830, 2200-2230
## 18
## 19
## 20
## 21 1700-1730,1800-1830,1830-1900, 2300-2330
## 22
## 23
## 24
## 25 2200-2230
## 26
## 27
## 28
## 29 1730-1800,2200-2230
## 30
## 31
## 32 2100-2130
## 33
## 34
## 35
## 36
## 37
## 38
## 39
## 40
## 41
## 42
## 43
## 44
## 45
## 46
## 47
## 48 1700-1730-2200-2235
## 49
## 50
## 51 22:00-22;30
## 52
## 53
## 54
## 55
## 56 1730-1800,2200-2230
## 57
## 58
## 59
## 60
## 61
## 62
## 63
## 64
## 65
## 66
## 67
## 68
## 69
## 70
## 71
## 72 1700-1730, 2200-2235
## 73
## 74
## 75
## 76 1830-1900,2300-2330
## 77
## 78
## 79
## 80 1800-1830,2200-2230
## 81
## 82 1800-1830,2200-2230
## 83
## 84
## 85 2100-2130
## 86
## 87
## 88
## 89
## 90
## 91
## 92
## 93 2100-2200
## 94
## 95
## 96
## 97
## 98 1800-1830,2200-2235
## 99
## 100
## 101
## 102
## 103
## 104
## 105 1800-1830,2200-2230
## 106
## 107
## 108
## 109
## 110
## 111
## 112
## 113 2200-2230
## 114
## 115
## 116
## 117
## 118
## 119
## 120
## 121
## 122
## 123
## 124
## 125
## 126
## 127
## 128
## 129
## 130
## 131 2200-2230
## 132
## 133
## 134 2200-2300
## 135
## 136
## 137
## 138
## 139
## 140
## 141
## 142 1830-1900,2300-2330
## 143
## 144
## 145
## 146
## 147
## 148
## 149
## 150
## 151
## 152
## 153
## 154
## 155
## 156
## 157
## 158
## 159
## 160
## 161
## 162
## 163 2100-2200
## 164
## 165
## 166 0600-0700,0800-0900,1700-1730,1800-1900,2300-2335
## 167
## 168
## 169
## 170
## 171
## 172
## 173
## 174
## 175
## 176
## 177
## 178
## 179
## 180
## 181
## 182
## 183
## 184
## 185
## 186
## 187 1800-1830,2200-2230
## 188
## 189
## 190
## 191 1730-18:00, 18:30-1900, 23:00-23:30
## 192
## 193
## 194
## 195 1700-1730,2300-2330
## 196
## 197
## 198
## 199
## 200
## 201
## 202
## 203
## 204 2100-2130
## 205
## 206
## 207
## 208
## 209
## 210
## 211
## 212
## 213 0600-0700,1700-1730,1800-1830,2300-2330
## 214
## 215
## 216
## 217
## 218
## 219
## 220
## 221
## 222 1800-1830, 2200-2300
## 223
## 224
## 225
## 226 1800-1830,2300-2330
## 227
## 228
## 229
## 230 1700-1730, 2200-2235
## 231
## 232
## 233 2200-2230
## 234
## 235
## 236 18:00-18:30,2300-2330
## 237
## 238
## 239 18:00-18:30,2300-2330
## 240
## 241
## 242
## 243
## 244
## 245
## 246
## 247
## 248
## 249
## 250
## 251
## 252 2330-2400
## 253
## 254
## 255
## 256 0700-0800,1700-1800,2200-2235
## 257
## 258 1800-1830,2300-2330
## 259
## 260
## 261 1000-1030
## 262
## 263
## 264
## 265
## 266
## 267
## 268
## 269
## 270 1800-1830,2200-2235
## 271
## 272
## 273
## 274
## 275
## 276
## 277
## 278
## 279
## 280
## 281
## 282
## 283
## 284
## 285
## 286
## 287
## 288
## 289
## 290
## 291
## 292
## 293
## 294
## 295
## 296 2200-2230
## 297
## 298
## 299
## 300 0700-1000,2200-2300
## 301
## 302
## 303
## 304 1800-1830, 2200-2235
## 305
## 306
## 307
## 308
## 309
## 310
## 311
## 312
## 313
## 314
## 315
## 316
## 317 1800-1830,2300-2330
## 318
## 319
## 320
## 321
## 322 1800-1830, 2300-2330
## 323
## 324
## 325 7:00-8:00, 18:00-18:30, 23:00-23:30
## 326
## 327
## 328
## 329
## 330
## 331
## 332
## 333
## 334
## 335
## 336
## 337
## 338 0700-0800, 1800-1830, 2300-2300
## 339
## 340
## 341
## 342
## 343
## 344 0600-0700,1800-1900,2200-2235
## 345
## 346
## 347 2200-2300
## 348
## 349
## 350
## 351 1800-1830,2300-2330
## 352
## 353
## 354
## 355
## 356
## 357
## 358
## 359
## 360
## 361
## 362
## 363
## 364
## 365
## 366
## 367
## 368
## 369 1800-1830, 2300-2330
## 370
## 371
## 372
## 373
## 374
## 375
## 376
## 377
## 378
## 379
## 380 1800-1830,2300-2330
## 381
## 382
## 383
## 384 1800-1830,2300-2330
## 385
## 386 2200-2230
## 387
## 388
## 389
## 390
## 391
## 392 1800-1830,2200-2235
## 393
## 394
## 395
## 396 1800-1830,2300-2330
## 397
## 398
## 399
## 400 0600-0700, 0700-0800, 0900-1000, 1800-1830, 1900-1930, 2300-2330
## 401
## 402
## 403
## 404 0700-1230,1300-1430, 1700-1800, 2200-2330
## 405
## 406
## 407
## 408
## 409
## 410
## 411 1800-1830,2300-2335
## 412
## 413
## 414
## 415 0500-0800,1800-1830,2300-2335
## 416
## 417
## 418 2200-2230
## 419
## 420
## 421
## 422 0600-0800,1800-1830,2300-2330
## 423
## 424
## 425
## 426 0600-0900, 2100-2200
## 427
## 428
## 429 2100-2200
## 430
## 431
## 432
## 433 22:00-2235
## 434
## 435
## 436
## 437
## 438
## 439
## 440
## 441
## 442
## 443
## 444
## 445
## 446
## 447
## 448
## 449
## 450
## 451
## 452
## 453
## 454
## 455
## 456
## 457
## 458
## 459
## 460
## 461 1700-1730, 2200-2230
## 462
## 463
## 464 2200-2300
## 465
## 466
## 467 1800-1830,2300-2330
## 468
## 469
## 470 0700-0800,0900-1000,1800-1830,2300-2330
## 471
## 472
## 473
## 474
## 475 0500-0700,1800-1830, 2300-2330
## 476
## 477
## 478 2200-2230
## 479
## 480
## 481
## 482 2200-2230
## 483
## 484
## 485 1700-1730,2200-2230
## 486
## 487
## 488
## 489
## 490
## 491
## 492
## 493
## 494
## 495
## 496
## 497
## 498 0600-0800,1800-1830,2300-2330
## 499
## 500
## 501 2200-2230
## 502
## 503
## 504
## 505 2200-2230
## 506
## 507
## 508
## 509
## 510 2100-2130
## 511
## 512
## 513 0630-0900, 1800-1830,2300-2330
## 514 2200-2230
## 515 1800-1830, 2300-2330
## 516
## 517
## 518
## 519 2200-2230
## 520
## 521
## 522
## 523 0600-0700,0900-1000,1800-1830,2300-2330
## 524
## 525
## 526 2200-2230
## 527 2200-2235
## 528
## 529
## 530
## 531
## 532
## 533
## 534
## 535 0500-0800,1800-1830,2300-2335
## 536
## 537
## 538
## 539
## 540
## 541
## 542 2200-2230
## 543
## 544
## 545
## 546
## 547
## 548
## 549
## 550
## 551
## 552
## 553
## 554 0900-1000,1800-1830,2300-2330
## 555 2200-2230
## 556
## 557 0800-1000,2200-2300
## 558
## 559
## 560
## 561
## 562
## 563
## 564 0600-0700,0800-0900,1800-1830,2300-2335
## 565 2200-2230
## 566
## 567 1800-1830, 2300-2330
## 568
## 569
## 570
## 571
## 572
## 573
## 574
## 575
## 576
## 577
## 578
## 579
## 580
## 581
## 582
## 583
## 584 2200-2230
## 585
## 586
## 587
## 588
## 589
## 590
## 591
## 592
## 593
## 594
## 595
## 596
## 597
## 598 2200-2300
## 599
## 600
## 601
## 602
## 603
## 604
## 605
## 606
## 607
## 608
## 609
## 610
## 611
## 612
## 613
## 614 0600-0800,1800-1830, 2300-2330
## 615 2200-2230
## 616
## 617
## 618
## 619
## 620
## 621 22:00-22:30
## 622
## 623
## 624
## 625
## 626 2100-2200
## 627
## 628
## News_Schedule_Sunday
## 1
## 2
## 3
## 4
## 5
## 6
## 7 2100-2200
## 8
## 9
## 10
## 11
## 12
## 13 0700-0900,0900-0930,1700-1730,1800-1900,2300-2330
## 14
## 15
## 16
## 17 1700-1730, 2200-2230
## 18
## 19
## 20
## 21 1700-1730,1800-1830,1830-1900,2300-2330
## 22
## 23
## 24
## 25 2200-2230
## 26
## 27
## 28
## 29 1730-1800,2200-2230
## 30
## 31
## 32 2100-2130
## 33
## 34
## 35
## 36
## 37
## 38
## 39
## 40
## 41
## 42
## 43
## 44
## 45
## 46
## 47
## 48 1700-1730-2200-2235
## 49
## 50
## 51 22:00-22:30
## 52
## 53
## 54
## 55
## 56 1730-1800,2200-2230
## 57
## 58
## 59
## 60
## 61
## 62
## 63
## 64
## 65
## 66
## 67
## 68
## 69
## 70
## 71
## 72 1700-1730, 2200-2235
## 73
## 74
## 75
## 76 1830-1900,2300-2330
## 77
## 78
## 79
## 80 1730-1800,2200-2300
## 81
## 82 1730-1800,2200-2230
## 83
## 84
## 85 21:00-22:00
## 86
## 87
## 88
## 89
## 90
## 91
## 92
## 93 2100-2200
## 94
## 95
## 96
## 97
## 98 2200-2235
## 99
## 100
## 101
## 102
## 103
## 104
## 105 1730-1800,2200-2230,2230-2300
## 106
## 107
## 108
## 109
## 110
## 111
## 112
## 113 2200-2230
## 114
## 115
## 116
## 117
## 118
## 119
## 120
## 121
## 122
## 123
## 124
## 125
## 126
## 127
## 128
## 129
## 130
## 131 2200-2230
## 132
## 133
## 134 1900-2000,2200-2300
## 135
## 136
## 137
## 138
## 139
## 140
## 141
## 142 1830-1900, 2300-2330
## 143
## 144
## 145
## 146
## 147
## 148
## 149
## 150
## 151
## 152
## 153
## 154
## 155
## 156
## 157
## 158
## 159
## 160
## 161
## 162
## 163 2100-2230
## 164
## 165
## 166 0600-0700,0800-0900,1700-1730,1800-1900,2300-2335
## 167
## 168
## 169
## 170
## 171
## 172
## 173
## 174
## 175
## 176
## 177
## 178
## 179
## 180 2100-2200
## 181
## 182
## 183
## 184
## 185
## 186
## 187 2200-2230
## 188
## 189
## 190
## 191 1730-18:00, 18:30-1900, 23:00-23:30
## 192
## 193
## 194
## 195 1700-1730,2300-2330
## 196
## 197
## 198
## 199
## 200
## 201
## 202
## 203
## 204 2100-2130
## 205
## 206
## 207
## 208
## 209
## 210
## 211
## 212
## 213 0600-0700,1700-1730,1800-1830,2300-2330
## 214
## 215
## 216
## 217
## 218
## 219
## 220
## 221
## 222 1700-1730, 2200-2300
## 223
## 224
## 225
## 226 1800-1830,2300-2330
## 227
## 228
## 229
## 230 1700-1730, 2200-2235
## 231
## 232
## 233 2200-2230
## 234
## 235
## 236 18:00-18:30,2300-2330
## 237
## 238
## 239 17:00-17:30,2300-2330
## 240
## 241
## 242
## 243
## 244
## 245
## 246
## 247
## 248
## 249
## 250
## 251
## 252 2330-2400
## 253
## 254
## 255
## 256 0700-0800,1700-1800,2200-2300
## 257
## 258 1830-1900,2300-2330
## 259
## 260
## 261 1000-1030
## 262
## 263
## 264
## 265
## 266
## 267
## 268
## 269
## 270 1730-1800,2200-2235
## 271
## 272
## 273
## 274
## 275
## 276
## 277
## 278
## 279
## 280
## 281
## 282
## 283
## 284
## 285
## 286
## 287
## 288
## 289
## 290
## 291
## 292
## 293
## 294
## 295
## 296 2200-2230
## 297
## 298
## 299
## 300 0700-0900,1030-1100,2200-2300
## 301
## 302
## 303
## 304 1700-1730, 2200-2230, 2230-2300
## 305
## 306
## 307
## 308
## 309
## 310
## 311
## 312
## 313
## 314
## 315
## 316
## 317 1800-1830,2300-2330
## 318
## 319
## 320
## 321
## 322 1800-1830, 2300-2330
## 323
## 324
## 325 7:00-8:00, 18:00-18:30, 23:00-23:30
## 326
## 327
## 328
## 329 0900-0930
## 330
## 331
## 332
## 333
## 334
## 335
## 336
## 337
## 338 0700-0800. 1800-1830, 2300-2330
## 339
## 340
## 341
## 342
## 343
## 344 0600-0700,1700-1730,2200-2230
## 345
## 346
## 347 2200-2300
## 348
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## 6286 Module 4: Statistics
There are so many different statistical methods we could spend
several months learning but only a handful that have been used often by
journalists. Some of the most common basic descriptive stats you can do
is calculating mean and median. The
percent is another form of descriptive statistics
common in data journalism. Another statistical measure is the
standard deviation which determines how spread out the
numbers are. The formula is essentially the square root of the Variance.
And the variance is the average of the squared differences from the
Mean. But the function we’ll use is simply sd(). The
function to check for a correlation between two arrays is
cor(). The base R function cor() allows you to
compute correlations using Pearson, Kendall tau or Spearman rho. Some
authors consider a strong correlation over [.6, -.6] and over [.8/, -.8]
is a very strong correlation.
If you’re comparing numbers with numbers, it’s easier to turn one set of numbers into quantiles, for example taking a range of numbers and grouping them into “low”, “medium”, or “high” categories. This way you can create crosstabs and get around having to use correlations in your narrative. Quantiles are a range from any value to any other value. Percentiles and Quartiles are simply types of Quantiles.
- 4-quantiles are called quartiles
- 5-quintiles are called quintiles
- 10-quantiles are called deciles
- 100-quantiles are called percentiles
To group numbers into sections, we’ll use the ntile()
function. The way ntile() works is the first argument is
the column you’d like to evaluate and the second argument is the number
of groups you’d like. The quantile() function is nearly the
same thing but takes percentiles as inputs. Because we’re creating 4
groups, we’ll add a column called quartile. Now, you can use
case_when() to create a new column for lowest salary, lower
salary, higher salary, and highest salary based on the quartile column
you created. What if you joined median income for zip codes from the
Census to this data? If you joined additional numerical data to this you
could use group_by() on the quartile column to calculate
the percent of workers living in poor or rich neighborhoods. Or perhaps
even those who live outside Boston city borders? Anyway, that’s the
benefit of adding quartiles via mutate.
Sometimes it’s important to account for confounding factors that may
better explain relationships between data points. To prepare our data
for regression analysis we can start for grouping some variables. Then
we can create a new variable for the natural log of our variable of
interest. Essentially, logs are a simpler way to represent large
numbers. For example, 10,000,000,000 can be written as 10¹⁰. The new
function we’ll use is predictably called log() and we’ll
pass it the argument of how many exponents we want (just 1). The time
creating models is like 85% cleaning and prepping the data. The base R
function lm() perform linear regression, assessing the
relationship between numeric response and explanatory variables that are
assumed to have a linear relationship. Provide the equation as a
formula, with the response and explanatory column names separated by a
tilde ~. Also, specify the data set to data =.
Define the model results as an R object, to use later. First, we’ll run
the simplest possible model with no controls at all, regressing salary
only on a male-female gender dummy. This is equivalent to calculating
the approximate overall percentage pay gap between men and women — what
we call the “unadjusted” pay gap. We’re looking for the relationship
between log_base and gender. Then use the
summary() function to output the results. A coefficient of
0.095 means there is approximately 9.5 percent “unadjusted” gender pay
gap in this theoretical company. In a story, you would write that men on
average earn about 9.5 percent more than women on average in this
company.
Mapping is really fun to do in R. You don’t need to pay crazy amounts of money to use ArcGIS. And while QGIS is excellent it has the drawbacks of most click-buttons-to-create programs: You can’t write a script to process the data, transform it, and visualize it in multiple ways. We’re going to use the sf package that will essentially let you treat maps like a geometry in ggplot2. It can be as simple as creating a bar chart or line chart.
So sf stands for Simple Features which is a set of standards the community have agreed upon to create a uniform way to store types of spatial data with different geometries, like points, lines, polygons, etc. What this means is when you import maps into R, it will be treated like a data frame. With rows and columns that you can summarize or join with other data sets for enhanced analysis.Bringing in a shape file is as similar as importing a csv! It just as an extra column called geometry.
If you had the shapefiles locally, you could import it in using
st_read() from the package sf. The
geometry column says “MULTIPOLYGON”. Polygon is another word for shape.
The geometry function for a polygon is geom_sf(). It is
kind of a process to download a shapefile, locate it locally, and then
import it. Because this is R, it´s possible that someone’s already come
up with a package to download the most-common per-country borders from
the cloud. The tigris package can download the
shapefiles for counties and work with FEMA data for USA. For European
countries, you can use the giscoR package, for Brazil,
there’s the geobr package, etc. To start out with,
we’ll load the library and call in the shapes of all the states. Once we
have the shapes, we need to bring in the data to join to it so we can
make for instance a choropleth. The choropleths are univarate maps, as
in it visualizes one column of data. On the other hand a bivariate map
involves visualizing two columns of data. This is pretty rare and
difficult to make because it requires calculating quartiles of data and
the relationship between the two variables.
Shapefiles from Tigris package
# getting the data
candles <- read_csv("input/scented.csv")
glimpse(candles)## Rows: 4,968
## Columns: 3
## $ Rating <dbl> 5, 5, 1, 5, 1, 5, 5, 3, 2, 5, 5, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, …
## $ Date <date> 2019-12-13, 2020-05-05, 2018-09-28, 2019-01-14, 2018-12-13, 20…
## $ Review <chr> "To the reviewer below: It's not Yankee Candles fault you order…# calculating the mean and the median
candles %>%
summarize(
avg_rating = mean(Rating),
median_rating = median(Rating)
)## # A tibble: 1 × 2
## avg_rating median_rating
## <dbl> <dbl>
## 1 4.07 5# calculating the distribution of the rating percent
candles %>%
group_by(Rating) %>%
summarize(total = n()) %>%
mutate(percent = round(total / sum(total) * 100, 1))## # A tibble: 5 × 3
## Rating total percent
## <dbl> <int> <dbl>
## 1 1 711 14.3
## 2 2 261 5.3
## 3 3 308 6.2
## 4 4 359 7.2
## 5 5 3329 67# calculating which 10 months had the greatest deviation (sd())
candles_monthly <- candles %>%
mutate(year = year(Date)) %>%
mutate(month = month(Date)) %>%
group_by(year, month) %>%
summarize(
ratings = n(),
avg_rating = mean(Rating, na.rm = T),
sd_rating = sd(Rating, na.rm = T)
) %>%
ungroup() %>%
arrange(desc(sd_rating)) %>%
filter(year > 2018) %>%
slice(1:10)
head(candles_monthly)## # A tibble: 6 × 5
## year month ratings avg_rating sd_rating
## <dbl> <dbl> <int> <dbl> <dbl>
## 1 2021 11 34 3.35 1.91
## 2 2020 8 74 3.07 1.85
## 3 2021 10 31 3.45 1.84
## 4 2020 5 107 3.20 1.84
## 5 2021 8 61 3.44 1.81
## 6 2021 9 39 3.41 1.80# calculating the percent of reviews by month that mention not having a smell
scented_timeline_monthly1 <- candles %>%
mutate(no_scent = case_when(
str_detect(Review, "[Nn]o scent") ~ 1,
str_detect(Review, "[Nn]o smell") ~ 1,
str_detect(Review, "[Dd]oes not smell like") ~ 1,
str_detect(Review, "[Dd]oesn't smell like") ~ 1,
str_detect(Review, "[Cc]an't smell") ~ 1,
str_detect(Review, "[Cc]annot smell") ~ 1,
str_detect(Review, "[Ff]aint smell") ~ 1,
str_detect(Review, "[Ff]aint scent") ~ 1,
str_detect(Review, "[Dd]on't smell") ~ 1,
str_detect(Review, "[Ll]ike nothing") ~ 1,
TRUE ~ 0
))
head(scented_timeline_monthly1)## # A tibble: 6 × 4
## Rating Date Review no_sc…¹
## <dbl> <date> <chr> <dbl>
## 1 5 2019-12-13 To the reviewer below: It's not Yankee Candles faul… 0
## 2 5 2020-05-05 OH. MY. GOD!!!!! I highly recommend that you DO NOT… 0
## 3 1 2018-09-28 As the title states, I suggest that you do not orde… 0
## 4 5 2019-01-14 Full disclosure: I am a Yankee candle devotee. My u… 0
## 5 1 2018-12-13 Y’all is NASTY. So I open up the candle and it smel… 0
## 6 5 2018-02-19 I bought this candle based off of the reviews from … 0
## # … with abbreviated variable name ¹no_scent# calculating the percent for each month and year
scented_timeline_monthly2 <- scented_timeline_monthly1 %>%
mutate(
year = year(Date),
month = month(Date)
) %>%
# let's aggregate around year and month
group_by(year, month) %>%
# we just need to add up the 1s in no_scent and count up the total reviews with n()
summarize(no_scent = sum(no_scent), reviews = n()) %>%
# and do some math
mutate(percent = no_scent / reviews * 100) %>%
select(year, month, value = percent) %>%
mutate(type = "percent no smell") %>%
ungroup() %>%
mutate(row = row_number())
head(scented_timeline_monthly2)## # A tibble: 6 × 5
## year month value type row
## <dbl> <dbl> <dbl> <chr> <int>
## 1 2005 9 0 percent no smell 1
## 2 2008 5 0 percent no smell 2
## 3 2009 11 0 percent no smell 3
## 4 2009 12 0 percent no smell 4
## 5 2010 2 0 percent no smell 5
## 6 2010 4 0 percent no smell 6# plotting it
ggplot(data = scented_timeline_monthly2, aes(x = row, y = value)) +
geom_line() +
geom_smooth() +
theme_minimal() +
labs(
title = "Percent of Yankee Candle reviews mentioning no smell",
y = "Percent", x = ""
)
# getting daily Covid-19 case counts
covid <- read_csv("https://github.com/CSSEGISandData/COVID-19/raw/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_US.csv")
covid_long <- covid %>%
pivot_longer(cols = 12:ncol(covid), names_to = "date", values_to = "cases") %>%
mutate(date = mdy(date)) %>%
group_by(FIPS) %>%
arrange(date) %>%
# this is a way to create a value from the previous value (lagged)
mutate(positive = c(cases[1], diff(cases))) %>%
group_by(date) %>%
summarize(value = sum(positive, na.rm = T)) %>%
mutate(type = "Covid cases")
head(covid_long)## # A tibble: 6 × 3
## date value type
## <date> <dbl> <chr>
## 1 2020-01-22 1 Covid cases
## 2 2020-01-23 0 Covid cases
## 3 2020-01-24 1 Covid cases
## 4 2020-01-25 0 Covid cases
## 5 2020-01-26 3 Covid cases
## 6 2020-01-27 0 Covid cases# monthly daily cases adjusted for 1000000
covid_long_monthly <- covid_long %>%
mutate(
year = year(date),
month = month(date)
) %>%
group_by(year, month) %>%
summarize(value = sum(value, na.rm = T) / 1000000) %>%
mutate(type = "Covid cases") %>%
ungroup() %>%
mutate(row = row_number())
head(covid_long_monthly)## # A tibble: 6 × 5
## year month value type row
## <dbl> <dbl> <dbl> <chr> <int>
## 1 2020 1 0.000008 Covid cases 1
## 2 2020 2 0.000018 Covid cases 2
## 3 2020 3 0.192 Covid cases 3
## 4 2020 4 0.887 Covid cases 4
## 5 2020 5 0.706 Covid cases 5
## 6 2020 6 0.854 Covid cases 6# comparing trend lines for both data sets
# This only works because we were careful to make sure the column names match
# from the different data sets
monthly <- rbind(covid_long_monthly, scented_timeline_monthly2)
monthly %>%
ggplot(aes(x = row, y = value)) +
geom_line() +
facet_wrap(vars(type), scale = "free_y") +
geom_smooth()
# another way of plotting it
monthly %>%
ggplot(aes(x = row, y = value, color = type)) +
geom_line() +
geom_smooth() +
theme_minimal() +
labs(title = "Covid cases versus Amazon 'no scent' candle reviews")
# reshaping data from long to wide to check correlation
monthly_wide <- monthly %>%
pivot_wider(names_from = "type", values_from = "value") %>%
filter(!is.na(`percent no smell`))
glimpse(monthly_wide)## Rows: 147
## Columns: 5
## $ year <dbl> 2005, 2008, 2009, 2009, 2010, 2010, 2010, 2010, 201…
## $ month <dbl> 9, 5, 11, 12, 2, 4, 7, 8, 10, 12, 1, 2, 4, 5, 6, 7,…
## $ row <int> 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, …
## $ `Covid cases` <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ `percent no smell` <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …# getting the data
boston_salaries <- read_csv("input/boston.csv")
glimpse(boston_salaries)## Rows: 22,552
## Columns: 12
## $ NAME <chr> "Beckers,Richard", "McGowan,Jacqueline M.", …
## $ DEPARTMENT_NAME <chr> "Boston Police Department", "Boston Police D…
## $ TITLE <chr> "Police Officer", "Police Officer", "Police …
## $ REGULAR <dbl> NA, NA, 69772.10, 100963.38, 109858.02, 1276…
## $ RETRO <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
## $ OTHER <dbl> 1264843.63, 1252990.81, 212739.48, 211900.28…
## $ OVERTIME <dbl> NA, NA, 82300.87, 67849.66, 75938.65, 66433.…
## $ INJURED <dbl> NA, NA, 30939.24, NA, NA, NA, NA, NA, NA, NA…
## $ DETAIL <dbl> NA, NA, 12144.0, 9016.0, 19550.0, 50085.0, 2…
## $ QUINN_EDUCATION_INCENTIVE <dbl> NA, NA, 25178.06, 10096.55, NA, 12762.78, 28…
## $ TOTAL_GROSS <dbl> 1264843.6, 1252990.8, 433073.8, 399825.9, 39…
## $ POSTAL <chr> "02119", "02129", "02130", "02368", "02301",…# this makes it random but consistent for all of us
set.seed(2022)
# getting randomly selected sample (16)
boston16 <- boston_salaries %>%
sample_n(16)
head(boston16)## # A tibble: 6 × 12
## NAME DEPAR…¹ TITLE REGULAR RETRO OTHER OVERT…² INJURED DETAIL QUINN…³
## <chr> <chr> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 Caldwell,Br… Mildre… Lunc… 9201. NA NA NA NA NA NA
## 2 Sjolander,E… Tech B… Teac… 89722. NA 1700 NA NA NA NA
## 3 Vargas,Jorge BPS Fa… Sen … 94937. NA 3264 8455. NA NA NA
## 4 Donahue,Dan… Boston… Poli… 100302. NA 850 6191. NA 36248 NA
## 5 Frechette,K… Boston… Sr A… 55428. NA 14239. 1955. NA NA NA
## 6 Mohammed,Hu… Public… Prog… 98299. NA NA NA NA NA NA
## # … with 2 more variables: TOTAL_GROSS <dbl>, POSTAL <chr>, and abbreviated
## # variable names ¹DEPARTMENT_NAME, ²OVERTIME, ³QUINN_EDUCATION_INCENTIVE# using the kable() function from the knitr package to present the data frame
boston16 %>%
select(TOTAL_GROSS, POSTAL) %>%
arrange(TOTAL_GROSS) %>%
knitr::kable()| TOTAL_GROSS | POSTAL |
|---|---|
| 9200.91 | 02124 |
| 29558.37 | 02122 |
| 38546.59 | 02126 |
| 71622.29 | 02127 |
| 85191.36 | 02215 |
| 91421.68 | 02130 |
| 93087.80 | 02186 |
| 98298.97 | 02119 |
| 105591.94 | 02072 |
| 106656.55 | 02130 |
| 110455.09 | 02185 |
| 122393.37 | 02021 |
| 143590.97 | 02032 |
| 145765.90 | 02050 |
| 178396.77 | 02122 |
| 269395.89 | 02769 |
# grouping quartiles with ntile()
boston16 %>%
select(TOTAL_GROSS, POSTAL) %>%
arrange(TOTAL_GROSS) %>%
mutate(quartile = ntile(TOTAL_GROSS, 4)) %>%
knitr::kable()| TOTAL_GROSS | POSTAL | quartile |
|---|---|---|
| 9200.91 | 02124 | 1 |
| 29558.37 | 02122 | 1 |
| 38546.59 | 02126 | 1 |
| 71622.29 | 02127 | 1 |
| 85191.36 | 02215 | 2 |
| 91421.68 | 02130 | 2 |
| 93087.80 | 02186 | 2 |
| 98298.97 | 02119 | 2 |
| 105591.94 | 02072 | 3 |
| 106656.55 | 02130 | 3 |
| 110455.09 | 02185 | 3 |
| 122393.37 | 02021 | 3 |
| 143590.97 | 02032 | 4 |
| 145765.90 | 02050 | 4 |
| 178396.77 | 02122 | 4 |
| 269395.89 | 02769 | 4 |
# making percentiles with quantile()
boston16 %>%
select(TOTAL_GROSS) %>%
arrange(TOTAL_GROSS) %>%
summarize(value = quantile(TOTAL_GROSS, c(0, .25, .5, .75, 1))) %>%
mutate(
percentile = c(0, 25, 50, 75, 100),
quartile = c(0, 1, 2, 3, 4)
) %>%
select(percentile, quartile, value)## # A tibble: 5 × 3
## percentile quartile value
## <dbl> <dbl> <dbl>
## 1 0 0 9201.
## 2 25 1 81799.
## 3 50 2 101945.
## 4 75 3 127693.
## 5 100 4 269396.# getting the data
salaries = read_csv("input/salary_data.csv")
glimpse(salaries)## Rows: 1,000
## Columns: 9
## $ jobTitle <chr> "Graphic Designer", "Software Engineer", "Warehouse Associat…
## $ gender <chr> "Female", "Male", "Female", "Male", "Male", "Female", "Femal…
## $ age <dbl> 18, 21, 19, 20, 26, 20, 20, 18, 33, 35, 24, 18, 19, 30, 35, …
## $ perfEval <dbl> 5, 5, 4, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, …
## $ edu <chr> "College", "College", "PhD", "Masters", "Masters", "PhD", "C…
## $ dept <chr> "Operations", "Management", "Administration", "Sales", "Engi…
## $ seniority <dbl> 2, 5, 5, 4, 5, 4, 4, 5, 5, 5, 5, 3, 3, 5, 4, 3, 5, 5, 5, 5, …
## $ basePay <dbl> 42363, 108476, 90208, 108080, 99464, 70890, 67585, 97523, 11…
## $ bonus <dbl> 9938, 11128, 9268, 10154, 9319, 10126, 10541, 10240, 9836, 9…# grouping employee ages
# Base pay summary stats.
salaries_adjusted1 <- salaries %>%
# Age brackets
mutate(age_bin = case_when(
age < 25 ~ 1, # Below age 25
age >= 25 & age < 35 ~ 2, # Age 25-34
age >= 35 & age < 45 ~ 3, # Age 25-34
age >= 45 & age < 55 ~ 4, # Age 25-34
age >= 55 ~ 5 # Age 25-34
))
salaries_adjusted1## # A tibble: 1,000 × 10
## jobTitle gender age perfE…¹ edu dept senio…² basePay bonus age_bin
## <chr> <chr> <dbl> <dbl> <chr> <chr> <dbl> <dbl> <dbl> <dbl>
## 1 Graphic Desig… Female 18 5 Coll… Oper… 2 42363 9938 1
## 2 Software Engi… Male 21 5 Coll… Mana… 5 108476 11128 1
## 3 Warehouse Ass… Female 19 4 PhD Admi… 5 90208 9268 1
## 4 Software Engi… Male 20 5 Mast… Sales 4 108080 10154 1
## 5 Graphic Desig… Male 26 5 Mast… Engi… 5 99464 9319 2
## 6 IT Female 20 5 PhD Oper… 4 70890 10126 1
## 7 Graphic Desig… Female 20 5 Coll… Sales 4 67585 10541 1
## 8 Software Engi… Male 18 4 PhD Engi… 5 97523 10240 1
## 9 Graphic Desig… Female 33 5 High… Engi… 5 112976 9836 2
## 10 Sales Associa… Female 35 5 Coll… Engi… 5 106524 9941 3
## # … with 990 more rows, and abbreviated variable names ¹perfEval, ²seniority# calculating logs
salaries_adjusted2 <- salaries_adjusted1 %>%
# Total compensation
mutate(total_pay = basePay + bonus) %>%
# Log of compensation
mutate(
log_base = log(basePay, base = exp(1)),
log_total = log(total_pay, base = exp(1)),
# Adds 1 to allow for log of 0 bonus values.
log_bonus = log(bonus + 1, base = exp(1))
)
salaries_adjusted2## # A tibble: 1,000 × 14
## jobTitle gender age perfE…¹ edu dept senio…² basePay bonus age_bin
## <chr> <chr> <dbl> <dbl> <chr> <chr> <dbl> <dbl> <dbl> <dbl>
## 1 Graphic Desig… Female 18 5 Coll… Oper… 2 42363 9938 1
## 2 Software Engi… Male 21 5 Coll… Mana… 5 108476 11128 1
## 3 Warehouse Ass… Female 19 4 PhD Admi… 5 90208 9268 1
## 4 Software Engi… Male 20 5 Mast… Sales 4 108080 10154 1
## 5 Graphic Desig… Male 26 5 Mast… Engi… 5 99464 9319 2
## 6 IT Female 20 5 PhD Oper… 4 70890 10126 1
## 7 Graphic Desig… Female 20 5 Coll… Sales 4 67585 10541 1
## 8 Software Engi… Male 18 4 PhD Engi… 5 97523 10240 1
## 9 Graphic Desig… Female 33 5 High… Engi… 5 112976 9836 2
## 10 Sales Associa… Female 35 5 Coll… Engi… 5 106524 9941 3
## # … with 990 more rows, 4 more variables: total_pay <dbl>, log_base <dbl>,
## # log_total <dbl>, log_bonus <dbl>, and abbreviated variable names ¹perfEval,
## # ²seniority# adding a new numerical variable to change Male to 1 and Female to 0
salaries_adjusted3 <- salaries_adjusted2 %>%
# Make flags
mutate(male = case_when(
gender == "Male" ~ 1,
TRUE ~ 0
))
glimpse(salaries_adjusted3)## Rows: 1,000
## Columns: 15
## $ jobTitle <chr> "Graphic Designer", "Software Engineer", "Warehouse Associat…
## $ gender <chr> "Female", "Male", "Female", "Male", "Male", "Female", "Femal…
## $ age <dbl> 18, 21, 19, 20, 26, 20, 20, 18, 33, 35, 24, 18, 19, 30, 35, …
## $ perfEval <dbl> 5, 5, 4, 5, 5, 5, 5, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, …
## $ edu <chr> "College", "College", "PhD", "Masters", "Masters", "PhD", "C…
## $ dept <chr> "Operations", "Management", "Administration", "Sales", "Engi…
## $ seniority <dbl> 2, 5, 5, 4, 5, 4, 4, 5, 5, 5, 5, 3, 3, 5, 4, 3, 5, 5, 5, 5, …
## $ basePay <dbl> 42363, 108476, 90208, 108080, 99464, 70890, 67585, 97523, 11…
## $ bonus <dbl> 9938, 11128, 9268, 10154, 9319, 10126, 10541, 10240, 9836, 9…
## $ age_bin <dbl> 1, 1, 1, 1, 2, 1, 1, 1, 2, 3, 1, 1, 1, 2, 3, 2, 1, 1, 1, 2, …
## $ total_pay <dbl> 52301, 119604, 99476, 118234, 108783, 81016, 78126, 107763, …
## $ log_base <dbl> 10.65403, 11.59428, 11.40987, 11.59063, 11.50755, 11.16888, …
## $ log_total <dbl> 10.86477, 11.69194, 11.50767, 11.68042, 11.59711, 11.30240, …
## $ log_bonus <dbl> 9.204222, 9.317310, 9.134431, 9.225721, 9.139918, 9.222960, …
## $ male <dbl> 0, 1, 0, 1, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, …# looking at summarized statistics with st() function from vtable package
st(salaries_adjusted3)| Variable | N | Mean | Std. Dev. | Min | Pctl. 25 | Pctl. 75 | Max |
|---|---|---|---|---|---|---|---|
| gender | 1000 | ||||||
| … Female | 468 | 46.8% | |||||
| … Male | 532 | 53.2% | |||||
| age | 1000 | 41.393 | 14.295 | 18 | 29 | 54.25 | 65 |
| perfEval | 1000 | 3.037 | 1.424 | 1 | 2 | 4 | 5 |
| edu | 1000 | ||||||
| … College | 241 | 24.1% | |||||
| … High School | 265 | 26.5% | |||||
| … Masters | 256 | 25.6% | |||||
| … PhD | 238 | 23.8% | |||||
| dept | 1000 | ||||||
| … Administration | 193 | 19.3% | |||||
| … Engineering | 192 | 19.2% | |||||
| … Management | 198 | 19.8% | |||||
| … Operations | 210 | 21% | |||||
| … Sales | 207 | 20.7% | |||||
| seniority | 1000 | 2.971 | 1.395 | 1 | 2 | 4 | 5 |
| basePay | 1000 | 94472.653 | 25337.493 | 34208 | 76850.25 | 111558 | 179726 |
| bonus | 1000 | 6467.161 | 2004.377 | 1703 | 4849.5 | 8026 | 11293 |
| age_bin | 1000 | 3.16 | 1.429 | 1 | 2 | 4.25 | 5 |
| total_pay | 1000 | 100939.814 | 25156.6 | 40828 | 83443 | 117656 | 184010 |
| log_base | 1000 | 11.417 | 0.287 | 10.44 | 11.25 | 11.622 | 12.099 |
| log_total | 1000 | 11.489 | 0.264 | 10.617 | 11.332 | 11.676 | 12.123 |
| log_bonus | 1000 | 8.72 | 0.345 | 7.441 | 8.487 | 8.991 | 9.332 |
| male | 1000 | 0.532 | 0.499 | 0 | 0 | 1 | 1 |
# calculating mean and median for base pay by gender
summary_base <- salaries_adjusted3 %>%
group_by(gender) %>%
summarise(
meanBasePay = mean(basePay, na.rm = TRUE),
medianBasePay = median(basePay, na.rm = TRUE),
employees = n()
)
summary_base## # A tibble: 2 × 4
## gender meanBasePay medianBasePay employees
## <chr> <dbl> <dbl> <int>
## 1 Female 89943. 89914. 468
## 2 Male 98458. 98223 532# looking at job clustering between gender
unadjusted_jobs <- salaries_adjusted3 %>%
group_by(jobTitle, gender) %>%
summarise(
meanTotalPay = mean(total_pay, na.rm = TRUE),
employees = n()
)
unadjusted_jobs## # A tibble: 20 × 4
## # Groups: jobTitle [10]
## jobTitle gender meanTotalPay employees
## <chr> <chr> <dbl> <int>
## 1 Data Scientist Female 102452. 53
## 2 Data Scientist Male 95450 54
## 3 Driver Female 93197. 46
## 4 Driver Male 98418. 45
## 5 Financial Analyst Female 101744. 49
## 6 Financial Analyst Male 101116. 58
## 7 Graphic Designer Female 98810. 48
## 8 Graphic Designer Male 96584. 50
## 9 IT Female 96838. 50
## 10 IT Male 97240. 46
## 11 Manager Female 133244. 18
## 12 Manager Male 130929. 72
## 13 Marketing Associate Female 82251. 107
## 14 Marketing Associate Male 88162. 11
## 15 Sales Associate Female 98221. 43
## 16 Sales Associate Male 100894. 51
## 17 Software Engineer Female 101147. 8
## 18 Software Engineer Male 113034. 101
## 19 Warehouse Associate Female 100084. 46
## 20 Warehouse Associate Male 93364. 44# calculating linear regression
# No controls. ("unadjusted" pay gap.)
lm_gender <- lm(log_base ~ gender, data = salaries_adjusted3)
summary(lm_gender)##
## Call:
## lm(formula = log_base ~ gender, data = salaries_adjusted3)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.9529 -0.1610 0.0356 0.2080 0.6374
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 11.36650 0.01310 867.999 < 0.0000000000000002 ***
## genderMale 0.09532 0.01795 5.309 0.000000136 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.2833 on 998 degrees of freedom
## Multiple R-squared: 0.02747, Adjusted R-squared: 0.02649
## F-statistic: 28.19 on 1 and 998 DF, p-value: 0.0000001359# we’ll run a more complete model that adds in variables for employee characteristics like highest education, years of experience and performance evaluation scores by adding "human capital" controls (performance evals, age and education).
lm_humancapital <- lm(log_base ~ gender + perfEval + age_bin + edu, data = salaries_adjusted3)
summary(lm_humancapital)##
## Call:
## lm(formula = log_base ~ gender + perfEval + age_bin + edu, data = salaries_adjusted3)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.8216 -0.1330 0.0187 0.1531 0.5447
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 11.016847 0.028434 387.454 < 0.0000000000000002 ***
## genderMale 0.100529 0.014701 6.838 0.000000000014 ***
## perfEval -0.007270 0.005158 -1.409 0.159013
## age_bin 0.110198 0.005119 21.525 < 0.0000000000000002 ***
## eduHigh School -0.039037 0.020566 -1.898 0.057974 .
## eduMasters 0.051118 0.020754 2.463 0.013945 *
## eduPhD 0.075603 0.021108 3.582 0.000358 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.2307 on 993 degrees of freedom
## Multiple R-squared: 0.3581, Adjusted R-squared: 0.3542
## F-statistic: 92.34 on 6 and 993 DF, p-value: < 0.00000000000000022# adding all controls ("adjusted" pay gap)
lm_allcontrols <- lm(log_base ~ gender + perfEval + age_bin + edu +
dept + seniority + jobTitle,
data = salaries_adjusted3
)
summary(lm_allcontrols)##
## Call:
## lm(formula = log_base ~ gender + perfEval + age_bin + edu + dept +
## seniority + jobTitle, data = salaries_adjusted3)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.58009 -0.08048 0.01035 0.08567 0.33886
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 10.672770968 0.023713370 450.074
## genderMale 0.010741076 0.009252040 1.161
## perfEval 0.000001261 0.002949497 0.000
## age_bin 0.109851999 0.002911027 37.737
## eduHigh School -0.012909549 0.011746645 -1.099
## eduMasters 0.056784864 0.011818443 4.805
## eduPhD 0.069198783 0.012014570 5.760
## deptEngineering 0.031304592 0.013397082 2.337
## deptManagement 0.032404925 0.013351999 2.427
## deptOperations -0.003751641 0.013114702 -0.286
## deptSales 0.074266041 0.013188331 5.631
## seniority 0.108361981 0.002991676 36.221
## jobTitleDriver -0.036220751 0.018703759 -1.937
## jobTitleFinancial Analyst 0.048342647 0.017943747 2.694
## jobTitleGraphic Designer -0.027146390 0.018366532 -1.478
## jobTitleIT -0.026148940 0.018449069 -1.417
## jobTitleManager 0.305337645 0.019019546 16.054
## jobTitleMarketing Associate -0.205853863 0.017911487 -11.493
## jobTitleSales Associate 0.005475381 0.018549563 0.295
## jobTitleSoftware Engineer 0.139084974 0.018265476 7.615
## jobTitleWarehouse Associate -0.005801268 0.018779894 -0.309
## Pr(>|t|)
## (Intercept) < 0.0000000000000002 ***
## genderMale 0.24595
## perfEval 0.99966
## age_bin < 0.0000000000000002 ***
## eduHigh School 0.27204
## eduMasters 0.0000017918949719 ***
## eduPhD 0.0000000112840951 ***
## deptEngineering 0.01966 *
## deptManagement 0.01541 *
## deptOperations 0.77489
## deptSales 0.0000000233761675 ***
## seniority < 0.0000000000000002 ***
## jobTitleDriver 0.05309 .
## jobTitleFinancial Analyst 0.00718 **
## jobTitleGraphic Designer 0.13972
## jobTitleIT 0.15670
## jobTitleManager < 0.0000000000000002 ***
## jobTitleMarketing Associate < 0.0000000000000002 ***
## jobTitleSales Associate 0.76792
## jobTitleSoftware Engineer 0.0000000000000622 ***
## jobTitleWarehouse Associate 0.75746
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.1308 on 979 degrees of freedom
## Multiple R-squared: 0.7966, Adjusted R-squared: 0.7924
## F-statistic: 191.7 on 20 and 979 DF, p-value: < 0.00000000000000022# testing for differences in the gender pay gap among departments or job titles
# All controls with job title interaction terms.
job_results <- lm(log_base ~ male * jobTitle + perfEval + age_bin + edu + seniority + dept, data = salaries_adjusted3)
# Publish a clean table of regression results.
summary(job_results)##
## Call:
## lm(formula = log_base ~ male * jobTitle + perfEval + age_bin +
## edu + seniority + dept, data = salaries_adjusted3)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.56693 -0.07864 0.01033 0.08618 0.34348
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 10.6802691 0.0271780 392.975
## male -0.0048152 0.0254446 -0.189
## jobTitleDriver -0.0379507 0.0264870 -1.433
## jobTitleFinancial Analyst 0.0342000 0.0260648 1.312
## jobTitleGraphic Designer -0.0215608 0.0262302 -0.822
## jobTitleIT -0.0396548 0.0258985 -1.531
## jobTitleManager 0.2955123 0.0360659 8.194
## jobTitleMarketing Associate -0.2194946 0.0220917 -9.936
## jobTitleSales Associate -0.0145911 0.0269738 -0.541
## jobTitleSoftware Engineer 0.1303582 0.0499016 2.612
## jobTitleWarehouse Associate -0.0041448 0.0264977 -0.156
## perfEval -0.0000597 0.0029665 -0.020
## age_bin 0.1098276 0.0029211 37.597
## eduHigh School -0.0119633 0.0118997 -1.005
## eduMasters 0.0577363 0.0119802 4.819
## eduPhD 0.0690856 0.0121086 5.705
## seniority 0.1081910 0.0030149 35.885
## deptEngineering 0.0322681 0.0135408 2.383
## deptManagement 0.0327785 0.0134922 2.429
## deptOperations -0.0031740 0.0131859 -0.241
## deptSales 0.0756173 0.0132751 5.696
## male:jobTitleDriver 0.0032543 0.0376148 0.087
## male:jobTitleFinancial Analyst 0.0273037 0.0361190 0.756
## male:jobTitleGraphic Designer -0.0108129 0.0370216 -0.292
## male:jobTitleIT 0.0273592 0.0370203 0.739
## male:jobTitleManager 0.0180576 0.0432188 0.418
## male:jobTitleMarketing Associate 0.0767703 0.0487858 1.574
## male:jobTitleSales Associate 0.0380170 0.0372331 1.021
## male:jobTitleSoftware Engineer 0.0164038 0.0545743 0.301
## male:jobTitleWarehouse Associate -0.0037625 0.0376203 -0.100
## Pr(>|t|)
## (Intercept) < 0.0000000000000002 ***
## male 0.84994
## jobTitleDriver 0.15224
## jobTitleFinancial Analyst 0.18979
## jobTitleGraphic Designer 0.41129
## jobTitleIT 0.12605
## jobTitleManager 0.000000000000000795 ***
## jobTitleMarketing Associate < 0.0000000000000002 ***
## jobTitleSales Associate 0.58868
## jobTitleSoftware Engineer 0.00913 **
## jobTitleWarehouse Associate 0.87573
## perfEval 0.98395
## age_bin < 0.0000000000000002 ***
## eduHigh School 0.31498
## eduMasters 0.000001671118608926 ***
## eduPhD 0.000000015402266979 ***
## seniority < 0.0000000000000002 ***
## deptEngineering 0.01736 *
## deptManagement 0.01530 *
## deptOperations 0.80983
## deptSales 0.000000016239875455 ***
## male:jobTitleDriver 0.93107
## male:jobTitleFinancial Analyst 0.44987
## male:jobTitleGraphic Designer 0.77030
## male:jobTitleIT 0.46007
## male:jobTitleManager 0.67617
## male:jobTitleMarketing Associate 0.11590
## male:jobTitleSales Associate 0.30748
## male:jobTitleSoftware Engineer 0.76380
## male:jobTitleWarehouse Associate 0.92036
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.1311 on 970 degrees of freedom
## Multiple R-squared: 0.7977, Adjusted R-squared: 0.7916
## F-statistic: 131.9 on 29 and 970 DF, p-value: < 0.00000000000000022# Download the shapefile. (note that I store it in a folder called DATA. You have to change that if needed.)
# download.file("http://thematicmapping.org/downloads/TM_WORLD_BORDERS_SIMPL-0.3.zip", destfile = "input/world_shape_file.zip")
# You now have it in your current working directory, have a look!
# Unzip this file. You can do it with R (as below), or clicking on the object you downloaded.
# unzip("input/world_shape_file.zip", exdir = "input")
# -- > You now have 4 files. One of these files is a .shp file! (TM_WORLD_BORDERS_SIMPL-0.3.shp)
world <- st_read("input/TM_WORLD_BORDERS_SIMPL-0.3.shp")## Reading layer `TM_WORLD_BORDERS_SIMPL-0.3' from data source
## `/Users/fmv/Documents/adjclass-nando/analysis/input/TM_WORLD_BORDERS_SIMPL-0.3.shp'
## using driver `ESRI Shapefile'
## Simple feature collection with 246 features and 11 fields
## Geometry type: MULTIPOLYGON
## Dimension: XY
## Bounding box: xmin: -180 ymin: -90 xmax: 180 ymax: 83.57027
## Geodetic CRS: WGS 84glimpse(world)## Rows: 246
## Columns: 12
## $ FIPS <chr> "AC", "AG", "AJ", "AL", "AM", "AO", "AQ", "AR", "AS", "BA", …
## $ ISO2 <chr> "AG", "DZ", "AZ", "AL", "AM", "AO", "AS", "AR", "AU", "BH", …
## $ ISO3 <chr> "ATG", "DZA", "AZE", "ALB", "ARM", "AGO", "ASM", "ARG", "AUS…
## $ UN <int> 28, 12, 31, 8, 51, 24, 16, 32, 36, 48, 52, 60, 44, 50, 84, 7…
## $ NAME <chr> "Antigua and Barbuda", "Algeria", "Azerbaijan", "Albania", "…
## $ AREA <int> 44, 238174, 8260, 2740, 2820, 124670, 20, 273669, 768230, 71…
## $ POP2005 <dbl> 83039, 32854159, 8352021, 3153731, 3017661, 16095214, 64051,…
## $ REGION <int> 19, 2, 142, 150, 142, 2, 9, 19, 9, 142, 19, 19, 19, 142, 19,…
## $ SUBREGION <int> 29, 15, 145, 39, 145, 17, 61, 5, 53, 145, 29, 21, 29, 34, 13…
## $ LON <dbl> -61.783, 2.632, 47.395, 20.068, 44.563, 17.544, -170.730, -6…
## $ LAT <dbl> 17.078, 28.163, 40.430, 41.143, 40.534, -12.296, -14.318, -3…
## $ geometry <MULTIPOLYGON [°]> MULTIPOLYGON (((-61.68667 1..., MULTIPOLYGON ((…# USA states (with tigris package)
us_states <- states(cb = TRUE, resolution = "20m") %>%
shift_geometry()##
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|======================================================================| 100%glimpse(us_states)## Rows: 52
## Columns: 10
## $ STATEFP <chr> "47", "27", "17", "30", "11", "06", "21", "10", "48", "55", "…
## $ STATENS <chr> "01325873", "00662849", "01779784", "00767982", "01702382", "…
## $ AFFGEOID <chr> "0400000US47", "0400000US27", "0400000US17", "0400000US30", "…
## $ GEOID <chr> "47", "27", "17", "30", "11", "06", "21", "10", "48", "55", "…
## $ STUSPS <chr> "TN", "MN", "IL", "MT", "DC", "CA", "KY", "DE", "TX", "WI", "…
## $ NAME <chr> "Tennessee", "Minnesota", "Illinois", "Montana", "District of…
## $ LSAD <chr> "00", "00", "00", "00", "00", "00", "00", "00", "00", "00", "…
## $ ALAND <dbl> 106791646253, 206232157570, 143778461053, 376973673895, 15831…
## $ AWATER <dbl> 2322913374, 18949864226, 6216594318, 3866689601, 18709762, 20…
## $ geometry <MULTIPOLYGON [m]> MULTIPOLYGON (((515382.5 -2..., MULTIPOLYGON (((…# mapping USA states
ggplot(us_states) +
geom_sf()
# mapping USA counties
us_counties <- counties(cb = TRUE, resolution = "20m") %>%
shift_geometry()##
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|======================================================================| 100%glimpse(us_counties)## Rows: 3,221
## Columns: 13
## $ STATEFP <chr> "05", "08", "26", "28", "38", "39", "21", "48", "40", "29",…
## $ COUNTYFP <chr> "121", "069", "105", "153", "075", "125", "095", "063", "10…
## $ COUNTYNS <chr> "00069178", "00198150", "01622995", "00695797", "01034229",…
## $ AFFGEOID <chr> "0500000US05121", "0500000US08069", "0500000US26105", "0500…
## $ GEOID <chr> "05121", "08069", "26105", "28153", "38075", "39125", "2109…
## $ NAME <chr> "Randolph", "Larimer", "Mason", "Wayne", "Renville", "Pauld…
## $ NAMELSAD <chr> "Randolph County", "Larimer County", "Mason County", "Wayne…
## $ STUSPS <chr> "AR", "CO", "MI", "MS", "ND", "OH", "KY", "TX", "OK", "MO",…
## $ STATE_NAME <chr> "Arkansas", "Colorado", "Michigan", "Mississippi", "North D…
## $ LSAD <chr> "06", "06", "06", "06", "06", "06", "06", "06", "06", "06",…
## $ ALAND <dbl> 1688445990, 6723014102, 1281963206, 2099745602, 2272050275,…
## $ AWATER <dbl> 10370823, 98984559, 1935616622, 7255476, 40658499, 6245396,…
## $ geometry <MULTIPOLYGON [m]> MULTIPOLYGON (((407670.6 -1..., MULTIPOLYGON (…ggplot(us_counties) +
geom_sf() +
theme_void()
# getting the data
df <- read_csv("https://www.fema.gov/api/open/v2/DisasterDeclarationsSummaries.csv")
df_new <- df %>%
mutate(GEOID = str_c(fipsStateCode, fipsCountyCode))
fema_counties <- left_join(df_new, county_pop, by = "GEOID")
glimpse(fema_counties)## Rows: 63,465
## Columns: 29
## $ femaDeclarationString <chr> "FM-5444-TX", "FM-5436-NE", "FM-5444-TX", "FM…
## $ disasterNumber <dbl> 5444, 5436, 5444, 5436, 5436, 5435, 5434, 543…
## $ state <chr> "TX", "NE", "TX", "NE", "NE", "AZ", "AZ", "NM…
## $ declarationType <chr> "FM", "FM", "FM", "FM", "FM", "FM", "FM", "FM…
## $ declarationDate <dttm> 2022-07-19, 2022-04-23, 2022-07-19, 2022-04-…
## $ fyDeclared <dbl> 2022, 2022, 2022, 2022, 2022, 2022, 2022, 202…
## $ incidentType <chr> "Fire", "Fire", "Fire", "Fire", "Fire", "Fire…
## $ declarationTitle <chr> "CHALK MOUNTAIN FIRE", "ROAD 702 FIRE", "CHAL…
## $ ihProgramDeclared <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ iaProgramDeclared <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ paProgramDeclared <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, …
## $ hmProgramDeclared <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, …
## $ incidentBeginDate <dttm> 2022-07-18, 2022-04-22, 2022-07-18, 2022-04-…
## $ incidentEndDate <dttm> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
## $ disasterCloseoutDate <dttm> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
## $ fipsStateCode <chr> "48", "31", "48", "31", "31", "04", "04", "35…
## $ fipsCountyCode <chr> "221", "063", "425", "065", "145", "025", "00…
## $ placeCode <dbl> 99221, 99063, 99425, 99065, 99145, 99025, 990…
## $ designatedArea <chr> "Hood (County)", "Frontier (County)", "Somerv…
## $ declarationRequestNumber <dbl> 22060, 22034, 22060, 22034, 22034, 22032, 220…
## $ lastIAFilingDate <dttm> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
## $ hash <chr> "373c5ec27998afc08a53302dae796f476b1a6546", "…
## $ id <chr> "867be42a-71d5-4f13-aa21-d91e0a6fd577", "e671…
## $ lastRefresh <dttm> 2022-07-20 21:21:23, 2022-07-20 21:21:23, 20…
## $ GEOID <chr> "48221", "31063", "48425", "31065", "31145", …
## $ NAME <chr> "Hood County, Texas", "Frontier County, Nebra…
## $ variable <chr> "B01003_001", "B01003_001", "B01003_001", "B0…
## $ estimate <dbl> 60025, 2636, 8958, 4712, 10725, 232396, 14225…
## $ moe <dbl> NA, 78, NA, NA, NA, NA, NA, NA, NA, NA, NA, N…# summarizing the data by counting up the number of disasters by county
fema_counties_count <- fema_counties %>%
filter(incidentType != "Biological") %>%
group_by(GEOID) %>%
summarize(disasters = n())
fema_map <- left_join(us_counties, fema_counties_count)
glimpse(fema_map)## Rows: 3,221
## Columns: 14
## $ STATEFP <chr> "05", "08", "26", "28", "38", "39", "21", "48", "40", "29",…
## $ COUNTYFP <chr> "121", "069", "105", "153", "075", "125", "095", "063", "10…
## $ COUNTYNS <chr> "00069178", "00198150", "01622995", "00695797", "01034229",…
## $ AFFGEOID <chr> "0500000US05121", "0500000US08069", "0500000US26105", "0500…
## $ GEOID <chr> "05121", "08069", "26105", "28153", "38075", "39125", "2109…
## $ NAME <chr> "Randolph", "Larimer", "Mason", "Wayne", "Renville", "Pauld…
## $ NAMELSAD <chr> "Randolph County", "Larimer County", "Mason County", "Wayne…
## $ STUSPS <chr> "AR", "CO", "MI", "MS", "ND", "OH", "KY", "TX", "OK", "MO",…
## $ STATE_NAME <chr> "Arkansas", "Colorado", "Michigan", "Mississippi", "North D…
## $ LSAD <chr> "06", "06", "06", "06", "06", "06", "06", "06", "06", "06",…
## $ ALAND <dbl> 1688445990, 6723014102, 1281963206, 2099745602, 2272050275,…
## $ AWATER <dbl> 10370823, 98984559, 1935616622, 7255476, 40658499, 6245396,…
## $ disasters <int> 20, 26, 7, 26, 23, 11, 24, 13, 30, 21, 12, 18, 15, 7, 10, 1…
## $ geometry <MULTIPOLYGON [m]> MULTIPOLYGON (((407670.6 -1..., MULTIPOLYGON (…# plotting a choropleth
fema_map %>%
ggplot() +
geom_sf(aes(fill = disasters), color = NA) + # getting rid of the state borders
scale_fill_viridis(direction = -1) + # reversing the order
theme_void()
# plotting hurricanes in Lousiana
fema_map %>%
filter(STUSPS == "LA") %>%
ggplot() +
geom_sf(aes(fill = disasters), color = NA) +
scale_fill_viridis(direction = -1) +
theme_void() +
labs(title = "Hurricane declared disasters since 1954")
# counting up Fire disaster declarations by county
fema_counties_count_fi <- fema_counties %>%
filter(incidentType == "Fire") %>%
mutate(year = year(incidentBeginDate)) %>%
group_by(GEOID, year) %>%
summarize(disasters = n())
fema_map_fi <- left_join(us_counties, fema_counties_count_fi)
glimpse(fema_map_fi)## Rows: 4,878
## Columns: 15
## $ STATEFP <chr> "05", "08", "08", "08", "08", "08", "08", "08", "08", "08",…
## $ COUNTYFP <chr> "121", "069", "069", "069", "069", "069", "069", "069", "06…
## $ COUNTYNS <chr> "00069178", "00198150", "00198150", "00198150", "00198150",…
## $ AFFGEOID <chr> "0500000US05121", "0500000US08069", "0500000US08069", "0500…
## $ GEOID <chr> "05121", "08069", "08069", "08069", "08069", "08069", "0806…
## $ NAME <chr> "Randolph", "Larimer", "Larimer", "Larimer", "Larimer", "La…
## $ NAMELSAD <chr> "Randolph County", "Larimer County", "Larimer County", "Lar…
## $ STUSPS <chr> "AR", "CO", "CO", "CO", "CO", "CO", "CO", "CO", "CO", "CO",…
## $ STATE_NAME <chr> "Arkansas", "Colorado", "Colorado", "Colorado", "Colorado",…
## $ LSAD <chr> "06", "06", "06", "06", "06", "06", "06", "06", "06", "06",…
## $ ALAND <dbl> 1688445990, 6723014102, 6723014102, 6723014102, 6723014102,…
## $ AWATER <dbl> 10370823, 98984559, 98984559, 98984559, 98984559, 98984559,…
## $ year <dbl> NA, 2000, 2001, 2002, 2003, 2004, 2010, 2011, 2012, 2020, N…
## $ disasters <int> NA, 1, 1, 2, 2, 1, 1, 1, 2, 2, NA, NA, NA, NA, 1, 1, 1, 1, …
## $ geometry <MULTIPOLYGON [m]> MULTIPOLYGON (((407670.6 -1..., MULTIPOLYGON (…fema_map_fi %>%
filter(STUSPS == "CA") %>%
filter(year %in% c(2017:2022)) %>%
ggplot() +
geom_sf(data = filter(us_states, STUSPS == "CA"), fill = "gray", color = NA) +
geom_sf(aes(fill = disasters), color = NA) +
scale_fill_viridis(direction = -1, na.value = "red") +
facet_wrap(vars(year)) +
theme_void()
# knowing areas that have been hit by Hurricanes most frequently in relation to population
disaster_count <- fema_counties %>%
# filter county data to just hurricanes
filter(incidentType == "Hurricane") %>%
mutate(year = year(incidentBeginDate)) %>%
# We want to focus on the years between 2017 and 2022
filter(year %in% c(2017:2022)) %>%
# Grouping by county IDS so we can join with mapping data easily
group_by(GEOID) %>%
summarize(total = n())
# start with the map of counties and join the disaster count
disaster_counties <- left_join(us_counties, disaster_count) %>%
select(-NAME)
# Then join the population count to the counties data
disaster_counties <- left_join(disaster_counties, county_pop)
glimpse(disaster_counties)## Rows: 3,221
## Columns: 17
## $ STATEFP <chr> "05", "08", "26", "28", "38", "39", "21", "48", "40", "29",…
## $ COUNTYFP <chr> "121", "069", "105", "153", "075", "125", "095", "063", "10…
## $ COUNTYNS <chr> "00069178", "00198150", "01622995", "00695797", "01034229",…
## $ AFFGEOID <chr> "0500000US05121", "0500000US08069", "0500000US26105", "0500…
## $ GEOID <chr> "05121", "08069", "26105", "28153", "38075", "39125", "2109…
## $ NAMELSAD <chr> "Randolph County", "Larimer County", "Mason County", "Wayne…
## $ STUSPS <chr> "AR", "CO", "MI", "MS", "ND", "OH", "KY", "TX", "OK", "MO",…
## $ STATE_NAME <chr> "Arkansas", "Colorado", "Michigan", "Mississippi", "North D…
## $ LSAD <chr> "06", "06", "06", "06", "06", "06", "06", "06", "06", "06",…
## $ ALAND <dbl> 1688445990, 6723014102, 1281963206, 2099745602, 2272050275,…
## $ AWATER <dbl> 10370823, 98984559, 1935616622, 7255476, 40658499, 6245396,…
## $ total <int> 1, NA, NA, 6, NA, NA, NA, 1, NA, NA, NA, NA, NA, NA, NA, 1,…
## $ NAME <chr> "Randolph County, Arkansas", "Larimer County, Colorado", "M…
## $ variable <chr> "B01003_001", "B01003_001", "B01003_001", "B01003_001", "B0…
## $ estimate <dbl> 17934, 350523, 29062, 20344, 2387, 18742, 26307, 12938, 684…
## $ moe <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ geometry <MULTIPOLYGON [m]> MULTIPOLYGON (((407670.6 -1..., MULTIPOLYGON (…# looking at population (estimate) and hurricanes (total) by county
bi_df <- bi_class(disaster_counties, x = estimate, y = total, style = "quantile", dim = 3)
glimpse(bi_df) # in the new column bi_class “2-1” means the first variable is in the 2nd quartile for one variable and the 1st quartile for the other variable. And then there are NAs because there aren’t enough data to determine a quartile (Those are probably counties with a history of zero hurricanes).## Rows: 3,221
## Columns: 18
## $ STATEFP <chr> "05", "08", "26", "28", "38", "39", "21", "48", "40", "29",…
## $ COUNTYFP <chr> "121", "069", "105", "153", "075", "125", "095", "063", "10…
## $ COUNTYNS <chr> "00069178", "00198150", "01622995", "00695797", "01034229",…
## $ AFFGEOID <chr> "0500000US05121", "0500000US08069", "0500000US26105", "0500…
## $ GEOID <chr> "05121", "08069", "26105", "28153", "38075", "39125", "2109…
## $ NAMELSAD <chr> "Randolph County", "Larimer County", "Mason County", "Wayne…
## $ STUSPS <chr> "AR", "CO", "MI", "MS", "ND", "OH", "KY", "TX", "OK", "MO",…
## $ STATE_NAME <chr> "Arkansas", "Colorado", "Michigan", "Mississippi", "North D…
## $ LSAD <chr> "06", "06", "06", "06", "06", "06", "06", "06", "06", "06",…
## $ ALAND <dbl> 1688445990, 6723014102, 1281963206, 2099745602, 2272050275,…
## $ AWATER <dbl> 10370823, 98984559, 1935616622, 7255476, 40658499, 6245396,…
## $ total <int> 1, NA, NA, 6, NA, NA, NA, 1, NA, NA, NA, NA, NA, NA, NA, 1,…
## $ NAME <chr> "Randolph County, Arkansas", "Larimer County, Colorado", "M…
## $ variable <chr> "B01003_001", "B01003_001", "B01003_001", "B01003_001", "B0…
## $ estimate <dbl> 17934, 350523, 29062, 20344, 2387, 18742, 26307, 12938, 684…
## $ moe <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ bi_class <chr> "2-1", "3-NA", "2-NA", "2-3", "1-NA", "2-NA", "2-NA", "1-1"…
## $ geometry <MULTIPOLYGON [m]> MULTIPOLYGON (((407670.6 -1..., MULTIPOLYGON (…# plotting the map
map <- ggplot() +
geom_sf(
data = bi_df, mapping = aes(fill = bi_class),
# changing the border color to white and the size of the
# border lines to .1
# and hiding the legend
color = "white", size = 0.1, show.legend = FALSE
) +
bi_scale_fill(pal = "GrPink", dim = 3) +
labs(
title = "Hurricanes & Population"
) +
bi_theme()
map
# adding a legend
legend <- bi_legend(
pal = "GrPink",
dim = 3,
xlab = "+ population ",
ylab = "+ disasters ",
size = 8
)
legend
# final map
finalPlot <- ggdraw() +
draw_plot(map, 0, 0, 1, 1) +
draw_plot(legend, 0.82, .2, 0.2, 0.2)
finalPlot
# saving plots
#ggsave(finalPlot, "test.svg", device="svg")
# save_plot("output/test.png", finalPlot, base_height = NULL, base_width = 12)
#install.packages("svglite") to make this work
# save_plot("output/test.svg", finalPlot, base_height = NULL, base_width = 12)Module 4: Statistics
7 Linting
The code in this RMarkdown is linted with the lintr package, which is based on the tidyverse style guide.
# lintr::lint("main.Rmd", linters =
# lintr::with_defaults(
# commented_code_linter = NULL,
# trailing_whitespace_linter = NULL
# )
# )
# if you have additional scripts and want them to be linted too, add them here
# lintr::lint("scripts/my_script.R")